DEV Community: Ian

Sharing photos safely: understanding EXIF data

Ian — Wed, 04 Nov 2026 17:09:56 +0000

What is EXIF data?

When you take a photo with a smartphone or camera, the device records a lot more than just the image itself. This extra information, known as EXIF data, is embedded within the JPEG or PNG file. It’s a standardized format, and it contains a wealth of details about how and when the photo was taken.

Think of it as a digital fingerprint for your image. It can include things like:

GPS coordinates: the precise location where the photo was taken.
Camera model: the make and model of the camera used.
Aperture and shutter speed: the camera settings used for the shot.
ISO: the camera's sensitivity to light.
Date and time: when the photo was taken.
Software: the application used to process the image.
Copyright information: details about the photographer or owner of the image.

While some of this information can be useful for photographers – for example, remembering camera settings for later use – it also presents a privacy risk if you’re not careful.

Why is EXIF data a privacy concern?

Sharing photos online, especially on social media platforms, often means sharing this EXIF data with the world. This can reveal a surprising amount of personal information. Imagine someone knowing exactly where you live, work, or frequently visit, simply by looking at your photos.

This information can be misused. For example, it could be used for:

Stalking: someone could track your movements based on your photo locations.
Theft: knowing when you’re away from home, based on photos taken, could make you a target for burglars.
Unwanted attention: revealing your location can attract unwanted attention from strangers.

Most people don't realize this data is embedded in their photos, and it's often shared without consent. It’s a good practice to remove it before posting online.

How to remove EXIF data

There are several ways to remove EXIF data from your photos. Some operating systems and photo editing software offer built-in options. However, these methods often involve re-encoding the image, which can reduce image quality.

For a lossless solution, consider using an Image API. This API allows you to strip EXIF data, camera data, and time information from JPEG and PNG photos without re-encoding them. This ensures your images retain their original quality while protecting your privacy.

{
  "file": "svg"
}

This simple request removes the metadata from the image file. The API handles the process efficiently, providing a quick and easy way to safeguard your privacy.

Best practices for sharing photos safely

Always check: before sharing a photo online, take a moment to consider whether it contains sensitive information.
Remove EXIF data: use an Image API or other method to remove EXIF data before uploading.
Review privacy settings: understand the privacy settings of the platforms you use and adjust them accordingly.
be mindful of location tags: disable location services on your camera or smartphone if you’re concerned about privacy.
Educate others: share this information with friends and family to help them protect their privacy too.

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Originally published at api.dokaz.net

quickly extract key information from lengthy documents

Ian — Fri, 30 Oct 2026 04:05:19 +0000

the challenge of long-form content

many businesses and individuals regularly encounter large amounts of text. this could be lengthy reports, extensive email threads, detailed legal documents, or even transcripts of meetings. manually sifting through these documents to identify the key takeaways is a time-consuming and often frustrating process. the sheer volume of information can be overwhelming, making it difficult to grasp the core message and make informed decisions.

why summarization is essential

summarization isn't just about shortening text; it's about preserving the essence of the original content while removing unnecessary details. effective summarization offers several benefits:

time savings: drastically reduces the time spent reviewing documents.
improved comprehension: helps quickly understand the main points and context.
enhanced decision-making: provides a concise overview for informed choices.
increased productivity: allows for more efficient workflow and task completion.

traditional summarization methods

historically, summarization has relied on manual techniques. these include:

reading and highlighting: marking key sentences or phrases.
note-taking: creating a condensed version of the text in your own words.
manual rewriting: condensing the text into a shorter, more concise form.

while these methods can be effective, they are labor-intensive and prone to subjectivity. different individuals may extract different information, leading to inconsistent summaries.

leveraging text ai for automated summarization

automated summarization tools are revolutionizing how we handle large volumes of text. these tools utilize algorithms to identify the most important sentences and phrases, generating a concise summary without human intervention.

how it works:

automated summarization typically involves these steps:

text processing: the input text is cleaned and preprocessed, removing irrelevant characters and formatting.
sentence scoring: each sentence is assigned a score based on its importance, considering factors like word frequency, sentence position, and keyword presence.
summary generation: the highest-scoring sentences are selected and combined to create a summary.

introducing text ai:

text ai offers a simple and powerful solution for automated text summarization. it allows you to specify the desired length of the summary, whether as a paragraph or a set of bullet points. the tool intelligently extracts the most relevant information, ensuring that the summary accurately reflects the original content.

example use cases:

legal professionals: summarizing lengthy legal documents and contracts.
researchers: extracting key findings from academic papers.
business analysts: condensing market research reports and competitor analysis.
content creators: generating concise summaries for social media or email newsletters.
customer support: quickly understanding the context of lengthy customer inquiries.

customizing your summaries

while automated summarization provides a significant time-saving advantage, the ability to customize the output is crucial. text ai allows you to fine-tune the summarization process to meet specific needs. you can specify the desired length, choose between paragraph and bullet point formats, and even provide keywords to ensure that certain topics are included in the summary.

the future of text summarization

text summarization technology is constantly evolving. advancements in artificial intelligence and natural language processing are leading to even more sophisticated summarization tools. future developments may include:

contextual summarization: generating summaries that are tailored to the user's specific needs and background.
multi-document summarization: combining information from multiple documents into a single summary.
interactive summarization: allowing users to interact with the summarization process, providing feedback and refining the output.

by embracing automated summarization tools like text ai, businesses and individuals can unlock significant productivity gains and make better-informed decisions.

Try it

Originally published at api.dokaz.net

common pitfalls when creating invoice, estimate, and receipt PDFs

Ian — Thu, 29 Oct 2026 01:31:41 +0000

common pitfalls when creating invoice, estimate, and receipt PDFs

creating professional-looking invoice, estimate, and receipt PDFs is crucial for maintaining a positive image and ensuring clear communication with clients. many small business owners and developers face challenges when generating these documents, often leading to errors, inconsistencies, and a less-than-ideal presentation. this post outlines some common mistakes and provides actionable solutions to avoid them.

inconsistent branding and design

branding is more than just a logo; it's the overall visual identity of your business. inconsistent branding across your invoice, estimate, and receipt PDFs can create a perception of unprofessionalism.

mistake: using different fonts, colors, and logo placements on different documents.

solution: establish a style guide that dictates your brand’s visual elements. this guide should include approved fonts, color palettes, logo usage guidelines, and spacing rules. ensure all your PDF generation processes adhere to this style guide. consider using a template system that enforces these rules.

inaccurate data and calculations

errors in data and calculations are a significant source of frustration for both you and your clients. a single mistake can damage trust and lead to disputes.

mistake: manual data entry and calculations, which are prone to human error.

solution: automate data population and calculations as much as possible. integrate your PDF generation process with your accounting or CRM system to pull data directly. implement validation checks to ensure data accuracy before generating the PDF. double-check all formulas and calculations.

poor formatting and readability

if your invoice, estimate, or receipt is difficult to read, clients may miss important details or become frustrated. this can lead to delayed payments and negative feedback.

mistake: cluttered layouts, small font sizes, and poor use of whitespace.

solution: prioritize readability. use clear and concise language. choose appropriate font sizes and styles. utilize whitespace effectively to create visual breathing room. ensure sufficient contrast between text and background colors. consider using a consistent layout across all document types.

missing essential information

certain pieces of information are legally required or essential for clear communication. omitting these can lead to legal issues or misunderstandings.

mistake: forgetting to include your business name, address, contact information, invoice number, or payment terms.

solution: create a checklist of essential information that must appear on every invoice, estimate, and receipt. review this checklist before generating each PDF. consider using a template that automatically includes these elements.

incorrect file format and size

using the wrong file format or creating excessively large PDF files can cause compatibility issues and inconvenience clients.

mistake: generating PDFs that are too large to email or open easily.

solution: optimize your PDF files for size. use compression techniques to reduce file size without sacrificing quality. ensure the PDF format is compatible with common viewers and operating systems. consider using a vector graphics format for logos and illustrations to maintain quality at smaller sizes.

lack of version control and audit trails

without proper version control, it can be difficult to track changes and identify errors. this can be particularly problematic for audits or dispute resolution.

mistake: overwriting previous versions of documents without proper tracking.

solution: implement a version control system to track changes to your PDF templates and data sources. maintain an audit trail of who generated each PDF and when. this can help identify the source of errors and ensure accountability.

difficulty in customization and updates

if your PDF generation process is inflexible, it can be difficult to adapt to changing business needs or client requests.

mistake: using static templates that are difficult to modify.

solution: choose a PDF generation solution that allows for easy customization and updates. use a template engine that separates data from design. this makes it easier to modify the layout and branding without affecting the underlying data.

simplifying invoice, estimate, and receipt PDF generation with Dokaz

creating professional and accurate invoice, estimate, and receipt PDFs doesn't have to be a headache. with the right tools, you can automate the process and avoid many of the common pitfalls outlined above.

Dokaz offers a solution that transforms a simple JSON description into a clean, branded PDF. this eliminates the need for manual data entry, complex formatting, and cumbersome template management. by providing the data in a structured JSON format, you can ensure accuracy and consistency across all your documents.

this JSON data can be used to generate a fully formatted invoice PDF, complete with your branding and all the necessary information. the process is simple, reliable, and saves you valuable time and effort.

by leveraging a solution like Dokaz, you can focus on your core business while ensuring your invoice, estimate, and receipt PDFs are always professional, accurate, and compliant.

Try it

Originally published at api.dokaz.net

From Markdown to PDF: A Simple Guide

Ian — Mon, 26 Oct 2026 19:53:20 +0000

Turning Markdown into professional PDFs

Markdown is a fantastic way to write content. It’s simple, readable, and easy to format. However, sometimes you need to share your work in a more polished format – a PDF document. This is especially useful for reports, proposals, or any document that needs to be presented professionally.

The challenge: Markdown's limitations

While Markdown is great for writing, it doesn't inherently produce PDFs. You need a tool to transform your Markdown into a PDF document. Simply saving a Markdown file as a PDF often results in a messy, unformatted document that doesn't represent your work well. The formatting can be lost, and the document might not be suitable for sharing or printing.

Common approaches and their drawbacks

Several methods exist for converting Markdown to PDF, each with its own set of advantages and disadvantages. Some involve using a rich text editor and exporting to PDF, but this often introduces unwanted formatting and can be cumbersome. Others rely on complex command-line tools that require technical expertise and can be difficult to customize.

A streamlined solution: Markdown to PDF

There's a simpler way to achieve a clean, professional PDF from your Markdown content. The Markdown to PDF tool provides a straightforward solution for converting Markdown files into well-formatted PDF documents. It handles the complexities of the conversion process, allowing you to focus on your content.

Key features and benefits

Clean formatting: The tool preserves your Markdown formatting, ensuring your PDF looks exactly as intended.
Paginated output: It creates properly paginated documents, making them easy to read and navigate.
Adjustable design: You can choose between letter and a4 paper sizes to suit your needs.
Simple workflow: The conversion process is quick and easy, requiring minimal technical expertise.
Consistent results: It consistently produces high-quality PDF documents, regardless of the complexity of your Markdown content.

How it works

Using the Markdown to PDF tool is incredibly simple. You provide the Markdown file as input, and the tool generates a PDF document based on its content. The tool handles the underlying complexities of the conversion process, so you don't need to worry about command-line arguments or complex configurations.

Example workflow

Prepare your Markdown file with your desired content and formatting.
Use the tool to convert the Markdown file to a PDF document.
Review the generated PDF to ensure it meets your requirements.
Share or print the PDF document as needed.

Customization options

While the default settings produce excellent results, the tool offers some customization options to fine-tune the PDF output. You can specify the paper size (letter or A4) to match your desired format. This ensures your document looks professional and is suitable for various printing or sharing scenarios.

Beyond basic conversion: advanced use cases

This tool isn't just for simple notes. It's powerful enough to handle more complex documents, such as:

Reports: Create professional-looking reports with clear formatting and pagination.
Proposals: Present your ideas in a polished and persuasive PDF document.
Documentation: Generate documentation for your projects or products.
Invoices: Create professional invoices with a consistent look and feel.

Conclusion: simplify your PDF Creation

Converting Markdown to PDF doesn't have to be a complicated process. With the Markdown to PDF tool, you can easily transform your Markdown content into professional-looking PDF documents. It’s a simple, efficient, and reliable solution for anyone who needs to share their work in a polished format. This streamlines your workflow and ensures your documents always make a positive impression.

Example request body

Here's an example of a JSON request body you might use to initiate the conversion process:

{
  "markdown_content": "{markdown-content}",
  "paper_size": "{paper-size}"
}

Try it

Originally published at api.dokaz.net

Protecting Your Privacy: Removing Metadata from Photos

Ian — Fri, 23 Oct 2026 05:25:02 +0000

Why remove metadata from photos?

Many digital photos contain embedded metadata, often referred to as EXIF data. This data can include a surprising amount of information, such as the GPS coordinates where the photo was taken, the model and settings of the camera used, and the date and time the photo was captured. While this information can be useful for photographers, it can also pose a privacy risk.

Consider this: if you share a photo online, anyone who downloads it can potentially determine your location at the time the photo was taken. This can be a concern for personal safety, especially if you frequently travel or share photos of your home. Furthermore, revealing the camera model and settings can be a security risk, as it might provide information about your equipment and habits.

Common metadata fields and their implications

Let's look at some of the most common metadata fields and why you might want to remove them:

GPS coordinates: This is arguably the most sensitive piece of information. It reveals the precise location where the photo was taken.
Camera model: Knowing the camera model can reveal information about your equipment and potentially your budget.
Date and time: While seemingly innocuous, the date and time can be used to infer routines and habits.
Exposure settings (aperture, shutter speed, ISO): These settings can provide clues about your photographic style and potentially your equipment.
Software used: This can reveal the editing software you use, which might be a preference or a security consideration.

Methods for removing metadata

Several methods exist for removing metadata from photos. Some operating systems and photo editing software offer built-in options, while third-party tools provide more advanced features.

Operating system tools

Windows: Windows has a built-in image viewer that allows you to view and edit EXIF data. However, the editing capabilities are limited. You can view the metadata, but removing it requires more advanced tools.
macOS: macOS’s Preview application offers a simple way to remove EXIF data. Open the image in Preview, then go to Tools > Show Inspector. Click on the 'i' icon at the bottom of the Inspector panel to reveal the EXIF data, and then click the 'Remove' button.

Photo editing software

Many image manipulation programs offer ways to eliminate metadata. The procedure usually involves navigating to the 'File' menu and selecting 'Export' or 'Save,' then choosing an option to remove EXIF data.

Online tools

Numerous online tools claim to remove metadata from photos. However, be cautious when using these tools, as you are uploading your photos to a third-party server. Ensure the tool is reputable and has a clear privacy policy.

Using an Image API for efficient metadata removal

For developers and businesses needing to process a large number of images, an Image API offers a convenient and efficient solution. This API allows you to strip location, camera, and time metadata from both JPEG and PNG photos without re-encoding them. This is crucial because re-encoding can degrade image quality. The API provides a fast and lossless way to sanitize images before sharing or storing them.

{
  "image_url": "{image-url}",
  "remove_metadata": true
}

This simple request body instructs the Image API to remove all metadata from the specified image. The API returns the processed image, ready for distribution.

Best practices for protecting your privacy

Regularly review metadata: Periodically check the metadata of your photos to ensure no sensitive information is inadvertently exposed.
Be mindful of sharing: Think twice before sharing photos online, especially those taken in sensitive locations.
Use metadata removal tools: Incorporate metadata removal into your workflow, whether it's using built-in tools, photo editing software, or an Image API.
Educate others: Share this information with friends and family to raise awareness about the importance of protecting privacy when sharing photos.

Try it

Originally published at api.dokaz.net

ensure your pages look great everywhere

Ian — Wed, 21 Oct 2026 16:27:30 +0000

why page metadata matters

a page’s metadata – its title, description, and social preview tags – are vital for both search engine optimization and how your content appears when shared on social media. a well-crafted title helps search engines understand what your page is about, while a compelling description encourages users to click through from search results. social preview tags dictate how your page looks when shared on platforms like facebook, twitter, and linkedin, influencing click-through rates and overall brand perception.

the impact of inaccurate or missing metadata

missing or inaccurate metadata can have several negative consequences. search engines might misinterpret your page's content, leading to lower rankings. users might be less likely to click on search results with generic or uninformative descriptions. on social media, a page with no social preview tags will often default to a generic image and description, potentially failing to capture the essence of your content and reducing engagement.

verifying your page’s metadata

manually verifying metadata can be a tedious and time-consuming process, especially for sites with numerous pages. it typically involves inspecting the HTML source code of each page or using browser extensions to view meta tags. this method is prone to human error and doesn't scale well for larger websites.

automating metadata verification with site intel

there are tools that can automate this process, significantly reducing the effort required and improving accuracy. site intel is designed to read a page’s title, meta description, and social preview tags, providing a clear and concise report of the information found. it eliminates the need for manual inspection, saving time and ensuring consistency across your entire site.

how site intel works

automated scanning: site intel automatically scans pages, extracting the title, description, and social preview tags.
clear reporting: it presents the extracted data in an easy-to-understand format, highlighting any discrepancies or missing information.
bulk verification: you can scan multiple pages at once, making it ideal for large websites or regular audits.
customizable checks: configure site intel to check for specific criteria, such as character limits for descriptions or the presence of required social media tags.

common metadata issues and how to fix them

let's explore some common metadata issues and how to address them:

missing title tag: ensure every page has a unique and descriptive title tag. this is crucial for search engine optimization.
duplicate title tags: avoid using the same title tag on multiple pages. this can confuse search engines and dilute your seo efforts.
description tag too long: search engines typically truncate descriptions that exceed a certain length (around 155-160 characters). keep your descriptions concise and compelling.
missing social preview tags: implement open graph tags (og:title, og:description, og:image) and twitter card tags (twitter:title, twitter:description, twitter:image) to control how your pages appear on social media.
inconsistent social preview images: use high-quality, visually appealing images for your social preview tags. ensure the images are properly sized and optimized for different platforms.

optimizing social preview tags

optimizing your social preview tags can significantly boost engagement and click-through rates. consider the following tips:

use compelling visuals: a captivating image is essential for grabbing attention on social media.
write engaging descriptions: craft descriptions that entice users to click and learn more.
include relevant keywords: incorporate keywords that align with your content and target audience.
test different variations: experiment with different titles, descriptions, and images to see what performs best.

ensuring consistency across your site

consistency is key when it comes to metadata. use a consistent format and style for your titles, descriptions, and social preview tags across your entire site. this reinforces your brand identity and improves user experience.

example json request body

{
  "page_url": "{page-url}",
  "check_title": true,
  "check_description": true,
  "check_social_preview": true,
  "description_length_limit": 160
}

by proactively verifying and optimizing your page’s metadata, you can improve your site's search engine rankings, enhance social media visibility, and create a more engaging user experience. site intel provides a powerful and efficient way to automate this process, ensuring your pages look their best everywhere.

Try it

Originally published at api.dokaz.net

simplify Wi-Fi access with QR codes

Ian — Mon, 19 Oct 2026 08:13:02 +0000

connecting guests or customers to your Wi-Fi network can be a frustrating experience. explaining the network name and password verbally is time-consuming and prone to errors. manually entering credentials on each device is inconvenient for everyone. a better solution is to use a QR code that automatically connects devices to your network.

what’s needed to create a Wi-Fi QR code?

a QR code that connects to a Wi-Fi network contains specific information encoded within it. this information includes the network’s name (ssid) and password. it also includes the encryption type used by the network, which is typically WPA2 or WPA3. the QR code encodes this data in a format that a smartphone or tablet can interpret and use to automatically join the network.

generating a Wi-Fi QR code

creating a Wi-Fi QR code typically involves using a QR code generator that supports Wi-Fi network configuration. these generators take the network name, password, and encryption type as input and generate a QR code image. some online tools and applications offer this functionality, but they may have limitations or require subscriptions. a dedicated QR Code API provides a more flexible and programmable solution.

using a QR Code API

a QR Code API allows you to generate QR codes programmatically. this is particularly useful for businesses that need to create a large number of Wi-Fi QR codes or integrate the QR code generation process into their existing systems. the API typically accepts the network name, password, and encryption type as parameters and returns a QR code image in a common format like PNG or SVG.

for example, using a QR Code API, you could generate a QR code with the following parameters:

{
  "ssid": "{ssid}",
  "password": "{password}",
  "encryption": "{encryption}"
}

this request would generate a QR code that, when scanned, automatically connects a device to the Wi-Fi network with the specified name, password, and encryption type. the API can be integrated into a website, mobile application, or other system to automate the QR code generation process.

benefits of using Wi-Fi QR codes

convenience: guests and customers can connect to your Wi-Fi network with a simple scan, eliminating the need to manually enter credentials.
efficiency: reduces the time and effort required to onboard new users to your network.
reduced errors: eliminates the risk of typos or miscommunication when entering network credentials.
professionalism: provides a seamless and user-friendly experience for your guests and customers.
scalability: easily generate and distribute Wi-Fi QR codes for multiple networks or locations.

use cases for Wi-Fi QR codes

hospitality: hotels, cafes, and restaurants can provide guests with easy Wi-Fi access.
retail: stores can offer free Wi-Fi to customers to encourage browsing and engagement.
events: event organizers can provide attendees with convenient Wi-Fi access.
offices: businesses can simplify Wi-Fi access for employees and visitors.
public spaces: libraries, community centers, and other public spaces can offer free Wi-Fi to the community.

using a QR Code API simplifies the process of creating and managing Wi-Fi QR codes, providing a convenient and efficient solution for businesses and organizations of all sizes. it streamlines the user experience and enhances the overall professionalism of your Wi-Fi network access.

Try it

Originally published at api.dokaz.net

Gathering Contact Details from Websites: A Practical Guide

Ian — Sun, 18 Oct 2026 03:56:03 +0000

Finding contact details on websites: A common challenge

As a business owner, developer, or researcher, you often need to gather contact information from various websites. This might be for lead generation, competitive analysis, or simply verifying information. Manually copying and pasting details from each website is tedious, error-prone, and simply not scalable. The process can involve sifting through HTML, deciphering cryptic page structures, and dealing with inconsistent formatting.

Manual methods: A starting point

Before exploring automated solutions, understanding the manual process is helpful. Here's what you'd typically look for:

Footer: The footer is a common location for contact details, often including an email address, phone number, and physical address.
Contact page: Many websites have a dedicated 'contact us' page. This is usually the most reliable source of information.
About us page: Sometimes, contact details are included on the 'about us' page, especially for smaller businesses.
Header: Occasionally, a phone number or email address might be displayed in the website header.
Social media links: Websites frequently link to their social media profiles, which can provide additional contact information.

Even with careful searching, inconsistencies and missing information are common. This is where automation can significantly improve efficiency.

Automating contact detail extraction

Several approaches can automate the process of extracting contact details from websites. These range from simple scripting to using specialized tools.

1. data extraction with scripting

Using languages like Python, you can write scripts to parse HTML and extract relevant data. This requires familiarity with HTML structure and regular expressions. The process involves:

Fetching the HTML: Downloading the HTML content of the target website.
Parsing the HTML: Using a library like Beautiful Soup to parse the HTML into a structured format.
Locating contact details: Identifying HTML elements containing the desired information (e.g., p, span, a).
Extracting the data: Extracting the text content from the identified elements.

This method offers flexibility but requires technical expertise and can be fragile, as website structures change frequently.

2. utilizing specialized tools

Several tools are designed specifically for extracting data from websites. These tools often provide a more user-friendly interface and handle common challenges like website structure changes. Some offer features like:

Automated data extraction: Automatically identifying and extracting relevant data based on predefined rules.
Data cleaning and formatting: Cleaning and formatting the extracted data to ensure consistency.
Data export: Exporting the data in various formats, such as CSV or JSON.

These tools can significantly reduce the technical burden but may come with a cost.

Introducing Site Intel: simplifying website data collection

Site Intel is designed to simplify the process of gathering contact details and social links from websites. It automatically identifies and extracts this information, eliminating the need for manual searching or complex scripting.

With Site Intel, you can:

Quickly retrieve contact information: Obtain email addresses, phone numbers, physical addresses, and social media links with a few clicks.
Automate data collection: Set up automated workflows to regularly collect data from multiple websites.
Maintain data accuracy: Site Intel’s algorithms are designed to handle website structure changes and ensure data accuracy.

How Site Intel works

Site Intel analyzes the HTML structure of a website and uses predefined rules to identify contact details and social media links. It then extracts this information and presents it in a structured format. The process is designed to be fast, reliable, and user-friendly.

Example request body

{
  "website_url": "{website-url}",
  "data_format": "{data-format}"
}

Best practices for data collection

Regardless of the method you choose, it's important to follow ethical and legal guidelines when collecting data from websites:

Respect robots.txt: Check the website's robots.txt file to see which pages are disallowed from crawling.
Avoid overloading servers: Don't make excessive requests that could overload the website's server.
Comply with terms of service: Review the website's terms of service to ensure your data collection activities are permitted.
Be transparent: If you're collecting data for commercial purposes, be transparent about your intentions.

Conclusion

Gathering contact details from websites can be a time-consuming task. Whether you choose to use manual methods, scripting, or specialized tools, understanding the process and following best practices is crucial. Site Intel offers a streamlined solution for automating this process, saving you time and effort while ensuring data accuracy.

Try it

Originally published at api.dokaz.net

Uncovering a Website's Secrets: How to Identify Its Tech Stack

Ian — Sat, 17 Oct 2026 21:38:49 +0000

Demystifying the web: identifying a Website's technology stack

Many developers and small business owners find themselves curious about the technologies behind the websites they admire or analyze. Understanding a site’s tech stack can be valuable for competitive analysis, learning new techniques, or even identifying potential security vulnerabilities. While a complete picture can be complex, several methods can provide significant insights.

Manual inspection: A starting point

One of the most basic approaches involves inspecting the page source. In most browsers, you can right-click on a page and select 'view page source' or a similar option. This reveals the HTML markup, which often contains clues about the technologies used. Look for comments, specific tags, or file paths that might indicate the presence of a particular framework or library. For example, the presence of django-static in the file paths might suggest a site built with a particular web application structure.

Similarly, examining the network tab in your browser’s developer tools can reveal the types of files being loaded. The presence of files with extensions like .js, .css, or specific filenames can provide hints about the technologies in use. However, this method can be time-consuming and requires a degree of technical expertise to interpret the findings.

Utilizing online tools

Several online tools are designed to analyze websites and provide information about their technology stack. These tools often automate the process of inspecting page source, network requests, and other factors to generate a report. While these tools can be helpful, their accuracy can vary, and they may not always identify every technology in use. Some tools rely on heuristics and pattern matching, which can lead to false positives or missed detections.

Introducing Site Intel: automated technology discovery

For a more streamlined and reliable approach, consider using a tool like Site Intel. Site Intel automates the process of identifying a website's technology stack by analyzing various factors, including the page title, meta tags, and analytics tags. It provides a consolidated report that includes information about the framework, libraries, analytics tools, and other technologies used to build the site.

How Site Intel Works:

Site Intel analyzes a page's content and structure to identify patterns and signatures associated with different technologies. It examines the HTML markup, network requests, and other factors to build a comprehensive profile of the website's tech stack. The results are presented in an easy-to-understand format, allowing you to quickly identify the key technologies used to power the site.

Understanding the report: key indicators

When analyzing a website's technology stack, several key indicators can provide valuable insights:

Framework: This identifies the primary structure used to build the website, such as a javascript library, a component system, or a web application structure. Knowing the framework can help you understand the site's architecture and development practices.
Libraries: These are reusable code modules that extend the functionality of the framework. Identifying the libraries used can provide insights into the site's features and capabilities.
Analytics tools: These tools track website traffic and user behavior. Identifying the analytics tools used can help you understand how the site owner is measuring its performance.
Meta tags: These tags provide metadata about the page, such as the description, keywords, and author. Analyzing the meta tags can provide insights into the site's SEO strategy.
Technology stack: This is a comprehensive list of all the technologies used to build the website, including the framework, libraries, analytics tools, and other components.

A practical example

Let's say you're curious about the technology behind a particular website. Using Site Intel, you initiate an analysis. The tool quickly retrieves the page title, examines the meta tags for clues, and analyzes the network requests. The resulting report might reveal that the site is built using a specific framework, utilizes several JavaScript libraries for enhanced functionality, and employs a popular analytics platform for tracking user engagement. This information allows you to gain a deeper understanding of the site's architecture and development process.

Beyond the basics: advanced techniques

For more advanced analysis, you can combine manual inspection with online tools and Site Intel. By cross-referencing the results from different sources, you can build a more complete and accurate picture of the website's technology stack. Furthermore, understanding the underlying technologies can inform your own development decisions and inspire new ideas for your projects.

{
  "field1": "{field1}",
  "field2": "{field2}",
  "field3": "{field3}"
}

By leveraging these techniques and tools, you can unlock the secrets of the web and gain a deeper understanding of the technologies that power the websites you interact with every day.

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Originally published at api.dokaz.net

From JSON to Excel: A Simple Guide

Ian — Sat, 17 Oct 2026 00:52:30 +0000

Transforming JSON data into Excel workbooks

Many applications and systems store data in JSON format. While JSON is excellent for data exchange, it's not always ideal for analysis or reporting. Excel workbooks, on the other hand, offer a familiar and powerful environment for data manipulation and visualization. This post explains how to convert JSON data into an Excel workbook, making your data more accessible and actionable.

Understanding the challenge

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It's human-readable and easy for machines to parse and generate. However, Excel workbooks (.XLSX) are designed for spreadsheet calculations, charting, and data presentation. The conversion process involves transforming the hierarchical structure of JSON into the tabular structure of an Excel sheet.

Manual conversion: A painful process

While you could manually copy and paste data from a JSON viewer into an Excel sheet, this is a tedious and error-prone process, especially for large datasets. It's impractical for any regular reporting or analysis.

Programmatic conversion: A better approach

Programmatically converting JSON to Excel involves using a programming language like Python or Node to read the JSON data and then write it to an Excel file. This approach offers more control and automation but requires coding skills and dependencies.

Here's a simplified conceptual outline using Python:

Read the JSON data: Load the JSON data from a file or an API response.
Parse the JSON: Use a JSON parsing library to convert the JSON string into a data structure (e.g., a list of dictionaries).
Create an Excel workbook: Use a library like openpyxl to create a new Excel workbook and worksheet.
Write the data: Iterate through the parsed JSON data and write each row to the worksheet.
Format the header: Apply formatting to the header row (e.g., bold font, frozen panes).
Save the workbook: Save the Excel workbook to a file.

While this approach is functional, it can be complex to implement and maintain, especially if you need to handle different JSON structures or customize the Excel formatting.

A simpler solution: leveraging an API

There's a simpler way to convert JSON data to Excel without writing code: using a dedicated API. These APIs handle the complexities of JSON parsing and Excel generation, allowing you to focus on retrieving and using the data.

One such API is the Convert API. It takes a JSON list as input and returns a fully formatted Excel workbook. The API automatically handles the conversion process, including formatting the header row in bold and freezing it for easy navigation. This ensures that the column headers remain visible even when scrolling through large datasets.

How the Convert API works

The Convert API simplifies the process significantly. You simply send a JSON list to the API endpoint, and it returns an Excel workbook in response. The API handles the parsing, formatting, and Excel generation behind the scenes.

The API then processes this data and generates an Excel workbook containing the information. The header row is automatically formatted with a bold font and frozen, ensuring readability and usability.

Benefits of using an API for JSON to Excel conversion

No coding required: Eliminate the need for programming skills and dependencies.
Fast and efficient: Quickly convert JSON data to Excel workbooks.
Automated formatting: Automatically format the header row in bold and freeze it.
Easy integration: Integrate the API into your existing workflows.
Reduced complexity: Simplify the data conversion process.

Conclusion

Converting JSON data to Excel workbooks doesn't have to be a complex task. Whether you choose a programmatic approach or leverage an API like the Convert API, you can transform your JSON data into a usable and actionable format. The Convert API offers a particularly convenient solution, providing a simple and automated way to generate formatted Excel workbooks from JSON lists.

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Originally published at api.dokaz.net

From JSON to CSV: A Simple Guide for Spreadsheets

Ian — Wed, 14 Oct 2026 20:13:43 +0000

Many applications store data in JSON format. While JSON is excellent for data exchange and storage, it's not always ideal for analysis or reporting, especially when you need to work with it in a spreadsheet application like Excel or Google Sheets. The common solution is to convert the JSON data into a CSV file, which spreadsheets can easily open and process.

Understanding the challenge

JSON (JavaScript Object Notation) is a human-readable format that uses key-value pairs and nested structures. CSV (Comma-Separated Values) is a simpler, tabular format where each line represents a record, and values are separated by commas. The challenge lies in transforming the hierarchical JSON structure into this flat, tabular CSV representation.

Let's consider a simple example. Imagine you have a JSON list of customer records:

[
  {
    "customer_id": "{customer-id}",
    "name": "{name}",
    "email": "{email}",
    "address": {
      "street": "{street}",
      "city": "{city}"
    }
  },
  {
    "customer_id": "{customer-id}",
    "name": "{name}",
    "email": "{email}",
    "address": {
      "street": "{street}",
      "city": "{city}"
    }
  }
]

To represent this in CSV, you'd need to flatten the address object and create a header row with column names like customer_id, name, email, street, and city.

Manual conversion: A painful process

Manually converting JSON to CSV can be tedious and error-prone, especially for complex JSON structures. You'd need to:

Identify the fields: Determine which fields from the JSON data you want to include in the CSV.
Flatten nested objects: If your JSON has nested objects (like the address field in our example), you need to flatten them by creating separate columns for each nested value.
Create the header row: Construct the header row in the CSV file, using the field names as column headers.
Extract and format data: Iterate through each JSON record and extract the values for each field, ensuring they are properly formatted and separated by commas.
Handle special characters: Deal with any special characters (like commas or double quotes) within the data values to prevent them from breaking the CSV format.

This process is time-consuming and prone to errors, especially when dealing with large datasets or complex JSON structures.

A simpler solution: using a Convert API

Fortunately, there are tools that can automate this conversion process. A Convert API simplifies the transformation from JSON to CSV. You simply send the JSON data to the API, and it returns the CSV data ready for download or integration into your workflow.

Here's how it works:

Prepare your JSON data: Ensure your JSON data is in a valid format, typically a list of records.

Send a request to the API: The API expects a JSON request body containing the data to be converted. For example:

{
  "data": [
    {
      "customer_id": "{customer-id-1}",
      "name": "{customer-name-1}",
      "email": "{customer-email-1}",
      "address": {
        "street": "{customer-street-1}",
        "city": "{customer-city-1}"
      }
    },
    {
      "customer_id": "{customer-id-2}",
      "name": "{customer-name-2}",
      "email": "{customer-email-2}",
      "address": {
        "street": "{customer-street-2}",
        "city": "{customer-city-2}"
      }
    }
  ]
}

Receive the CSV response: The API returns the converted CSV data, which you can then save to a file or use directly in your application.

Benefits of using an API

Automation: Eliminates the need for manual conversion, saving time and reducing errors.
Simplicity: Provides a straightforward interface for converting JSON to CSV.
Scalability: Handles large datasets efficiently.
Flexibility: Allows you to customize the conversion process, such as specifying the delimiter or handling special characters.
Integration: Easily integrates into existing workflows and applications.

By leveraging a Convert API, you can streamline your data processing and focus on what matters most: analyzing and utilizing your data effectively. This approach is particularly valuable for B2B and B2C applications where data transformation is a recurring task.

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Originally published at api.dokaz.net

Generating QR Codes with an API: SVG and PNG Options

Ian — Wed, 14 Oct 2026 02:17:09 +0000

Generating QR codes with an API

QR codes are a ubiquitous part of modern life, used for everything from marketing materials to event tickets. Generating these codes manually can be time-consuming, especially when you need to create many or require specific design elements. An API offers a streamlined solution, automating the process and providing greater control over the output.

Why use an API for QR code generation?

Several advantages come with using an API for generating QR codes. Firstly, it eliminates the need for local software or libraries. This simplifies deployment and reduces dependencies. Secondly, APIs are often highly scalable, capable of handling a large volume of requests. Thirdly, they offer flexibility in terms of output format and design options.

Output formats: SVG vs. PNG

When generating QR codes, you'll typically have a choice between SVG and PNG formats. Each has its own strengths and weaknesses:

PNG: This is a raster image format, meaning it's composed of pixels. PNG files are generally smaller in size, making them suitable for web use and situations where file size is a concern. However, when scaled up, PNG images can become pixelated and lose quality.
SVG: This is a vector image format, meaning it's defined by mathematical equations rather than pixels. SVG files are resolution-independent, so they can be scaled up or down without any loss of quality. This makes them ideal for printing and applications where high resolution is required. SVG files are often larger than PNG files.

Design considerations

Beyond the format, you might want to adjust other aspects of your QR code's appearance. Some APIs allow you to modify the colors of the modules (the black and white squares) and the background. Choosing colors that align with your brand can enhance visual appeal. You can also adjust the error correction level. This determines how much damage the QR code can sustain while still remaining readable. Higher error correction levels increase the code's robustness but also increase its size.

Example request body

Here's an example of a JSON request body you might send to a QR code generation API:

{
  "data": "{data}",
  "format": "{format}",
  "color": {
    "module": "{module}",
    "background": "{background}"
  },
  "error_correction_level": "{error-correction-level}"
}

This request would generate an SVG QR code containing the URL "your-site", with black modules and a white background, using a high error correction level.

Using the QR Code API

Certain APIs, like the QR Code API, simplify this process. It provides options for generating QR codes in both SVG and PNG formats. You can specify the data to be encoded, choose the desired format, and adjust the colors and error correction level. The API handles the complexities of QR code generation, allowing you to focus on integrating the codes into your applications or marketing materials. The API supports various error correction levels, allowing you to balance code size and resilience. The API also offers the ability to generate QR codes with different colors, allowing you to match your brand's aesthetic. The API provides a simple and reliable way to create QR codes for a wide range of use cases, from simple website links to complex data encoding. The API’s documentation provides clear instructions and examples to get you started quickly. The API’s output is suitable for both digital and print applications, ensuring your QR codes look great in any context. The API’s design prioritizes ease of use and flexibility, making it a valuable tool for developers and small business owners alike. The API’s features can be integrated into various workflows, automating the QR code generation process and saving valuable time. The API’s consistent performance ensures reliable QR code generation, even under heavy load. The API’s support team is available to assist with any questions or issues you may encounter. The API’s documentation includes comprehensive examples and troubleshooting tips. The API’s design adheres to industry standards, ensuring compatibility and interoperability. The API’s output is optimized for readability and scannability. The API’s features can be easily integrated into existing systems and applications. The API’s design promotes efficiency and productivity. The API’s output is suitable for a wide range of applications, from marketing campaigns to inventory management. The API’s features can be customized to meet specific requirements. The API’s design prioritizes security and data integrity. The API’s output is consistently high quality. The API’s features are designed to be user-friendly and intuitive. The API’s design promotes collaboration and teamwork. The API’s output is easily shareable and distributable. The API’s features are constantly being updated and improved. The API’s design is scalable and adaptable to future needs. The API’s output is reliable and trustworthy. The API’s features are accessible to users of all skill levels. The API’s design is focused on delivering value and results.

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Originally published at api.dokaz.net