DEV Community: César Freitas

Generate dynamic Open Graph share images on the fly via API

César Freitas — Tue, 20 Oct 2026 14:00:02 +0000

Generate dynamic Open Graph share images on the fly via API

As a developer, you've probably encountered the frustration of trying to create engaging social media posts for your project. One key element that can make or break a post is an eye-catching image that represents the content. However, creating high-quality images that accurately represent your content can be time-consuming and require design expertise.

The problem gets even more complicated when you need to generate dynamic images based on user input or data from external sources. This is where Open Graph (OG) social-image generation comes in – a feature that allows platforms like Facebook, Twitter, and LinkedIn to automatically generate images for your posts.

While there are various libraries and tools available for generating OG images, many of them require manual configuration, design expertise, or even custom development. In this post, we'll explore how the Finance, Holidays & OG Image Tools API solves this problem by providing a single, lightweight solution that generates dynamic Open Graph share images on the fly.

The Solution: A Single API for Multiple Use Cases

The Finance, Holidays & OG Image Tools API is an all-in-one solution that provides various tools and features in one package. In addition to generating dynamic Open Graph social images, this API also offers:

Public holidays by country data
Loan calculators with compound interest calculations
And more

This means that developers can now access a wide range of features from a single API endpoint, reducing development time and complexity.

Request/Response Overview

When using the Finance, Holidays & OG Image Tools API, you'll typically send an HTTP request to the server with your desired parameters. The response will contain:

A unique image URL that can be used to share on social media platforms
Optional metadata such as image dimensions and alt text

Think of it like ordering a food delivery: you provide the order details (your desired parameters), and the API responds with the prepared meal (the generated image) along with any additional information.

In plain words, when you send a request to the API, you'll typically include:

A specific type or category for the image you want to generate
Any relevant data or parameters that should be used in the generation process

The response will then contain the full URL of the generated image, along with any additional metadata.

Getting Started: Try the API on RapidAPI

If you're interested in trying out the Finance, Holidays & OG Image Tools API for yourself, we recommend taking advantage of RapidAPI's free tier. With a few clicks, you can get started generating dynamic Open Graph share images on the fly without any upfront costs or commitment.

RapidAPI provides a user-friendly interface that allows you to easily explore the API endpoints and their usage scenarios. Be sure to check out their documentation and tutorials for more information on how to use the API effectively.

Conclusion

Generating dynamic Open Graph share images can be a challenge, but the Finance, Holidays & OG Image Tools API offers a streamlined solution that makes it easy. By providing an all-in-one package of tools and features, this API simplifies development time and complexity, allowing developers to focus on what matters most – creating engaging content for their audience.

If you're looking to try out dynamic Open Graph social-image generation for your project, we encourage you to take advantage of RapidAPI's free tier. With its user-friendly interface and easy-to-use API endpoints, you can get started today and see the benefits of this powerful feature for yourself.

Quick example

curl -X GET 'https://finance-holidays-and-og-image-tools.p.rapidapi.com/holidays?country=US&year=2026' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: finance-holidays-and-og-image-tools.p.rapidapi.com'

Try it: the Finance, Holidays & OG Image Tools API is live on RapidAPI with a free tier — get your key here.

Add loan and compound-interest math to your app via API

César Freitas — Mon, 19 Oct 2026 14:00:02 +0000

Adding loan and compound-interest math to your app via API can be a daunting task, especially for developers who are new to financial calculations. Calculating interest on loans is a common requirement in various applications, from personal finance tools to business software. However, finding a reliable and lightweight API that provides accurate calculations without requiring extensive development expertise can be challenging.

This is where the Finance, Holidays & OG Image Tools API comes into play. This API offers a comprehensive set of features that cater to developers' needs, including public holidays by country, loan calculators, and dynamic Open Graph social-image generation in one lightweight package.

The API's loan calculator allows users to input various parameters such as principal amount, interest rate, loan period, and compounding frequency, and returns the calculated total amount, interest paid, and other relevant details. The API uses a robust formula-based approach to calculate compound interest, ensuring accuracy and consistency across different regions and currencies.

One of the key benefits of using this API is its ability to handle various financial scenarios, including monthly and yearly compounding periods, as well as different types of loans such as fixed-rate and variable-rate loans. The API also supports multiple currencies and can be easily integrated with popular programming languages and frameworks.

When making a request to the API, developers typically send a JSON payload containing the loan parameters and receive a response in a similar format. The typical request would include inputting the principal amount, interest rate, loan period, compounding frequency, and currency, while the response would provide the calculated total amount, interest paid, and other relevant details.

For example, if a developer wants to calculate the monthly payments for a $10,000 loan with an annual interest rate of 8%, compounded semi-annually over 5 years, the request might look like this:

Request:

Response:

While this API provides a comprehensive solution for loan and compound-interest calculations, it's essential to remember that no API is perfect, and there may be cases where the API's assumptions or formulas do not align with specific regional regulations or requirements.

If you're looking for a reliable and lightweight API to add loan and compound-interest math to your app, we encourage you to try the Finance, Holidays & OG Image Tools API. The API offers a free tier available on RapidAPI, allowing developers to test its features without incurring any costs. With its robust formula-based approach, comprehensive features, and ease of integration, this API is an excellent choice for developers seeking to add financial calculations to their applications.

Quick example

curl -X GET 'https://finance-holidays-and-og-image-tools.p.rapidapi.com/holidays?country=US&year=2026' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: finance-holidays-and-og-image-tools.p.rapidapi.com'

Try it: the Finance, Holidays & OG Image Tools API is live on RapidAPI with a free tier — get your key here.

Get public holidays by country and year with a free API

César Freitas — Sun, 18 Oct 2026 14:00:01 +0000

Public holidays can be a crucial aspect of any application that deals with dates and calendars. Whether it's a calendar app, an event planner, or even a social media platform, being able to fetch public holidays by country and year is essential for accuracy and completeness.

However, finding reliable APIs that provide this functionality can be a challenge. Many APIs focus on financial calculations or image generation, leaving developers scrambling to find the perfect fit.

That's where the Finance, Holidays & OG Image Tools API comes in. This comprehensive API not only provides public holidays by country and year but also offers loan and compound-interest calculators, as well as dynamic Open Graph social-image generation. The best part? It's all wrapped up in a lightweight and easy-to-use interface.

One of the most significant advantages of this API is its breadth of coverage. With support for over 150 countries, you can be confident that your application will have access to the public holidays data it needs. Whether you're building a global app or targeting a specific region, this API has got you covered.

But what does a typical request and response look like? In simple terms, when you make a request to the API, you'll provide some basic parameters such as the country code and year. The API will then return a JSON object containing the relevant public holidays data for that specific time period.

The response is straightforward and easy to parse. You can expect to receive an array of objects, each representing a single holiday. These objects typically contain fields like the holiday name, date range, and even notes or explanations about why the holiday is observed in a particular country.

Here's an example of what this might look like:

A JSON object containing public holidays for January 2024 in Japan
- { "date_ranges": [ {"start_date": "2024-01-01", "end_date": "2024-01-03"}, {"start_date": "2024-04-29", "end_date": "2024-05-03"} ] } }

By providing this data, the API helps you avoid errors and inaccuracies that could arise from manually guessing or looking up public holidays.

If you're a developer looking for a reliable and comprehensive solution to fetch public holidays by country and year, we highly recommend checking out the Finance, Holidays & OG Image Tools API. Its free tier is available on RapidAPI, which means you can try it out without incurring any costs. By signing up and trying this API, you'll be able to add accurate and reliable public holiday data to your application with ease.

In short, with its comprehensive coverage, lightweight interface, and easy-to-use parameters, the Finance, Holidays & OG Image Tools API is a must-have for developers and indie makers looking to enhance their applications with reliable public holiday data.

Quick example

curl -X GET 'https://finance-holidays-and-og-image-tools.p.rapidapi.com/holidays?country=US&year=2026' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: finance-holidays-and-og-image-tools.p.rapidapi.com'

Try it: the Finance, Holidays & OG Image Tools API is live on RapidAPI with a free tier — get your key here.

Clean and fix SRT/VTT subtitle files programmatically

César Freitas — Sat, 17 Oct 2026 14:00:05 +0000

Clean and fix SRT/VTT subtitle files programmatically

Subtitle files are an essential part of audio and video content, providing crucial information about the timing and text associated with audio events. However, in the fast-paced world of media creation and distribution, subtitle files can easily become corrupted or broken during processing, storage, or transmission. This can result in poor-quality subtitles that fail to accurately display the intended text.

SRT (SubRip Subtitle) and VTT (WebVTT) are two popular subtitle formats used across various platforms. While they share some similarities, each has its own strengths and weaknesses. Despite their popularity, SRT/VTT files can become messy due to various reasons such as encoding errors, formatting inconsistencies, or simply being too large for efficient storage.

Repairing broken model JSON is also a common issue in AI-powered applications, which can lead to incorrect or incomplete subtitle data. In such cases, having a reliable tool to clean and fix SRT/VTT subtitle files programmatically would be incredibly valuable.

LLM Dev Utilities API: A Solution

The LLM Dev Utilities API provides an efficient solution for cleaning and fixing SRT/VTT subtitle files without relying on AI calls. This API can repair broken model JSON, clean SRT/VTT subtitles, compress text to a token budget, and triage logs — all in one fast, deterministic, and reliable package.

By leveraging this API, developers and indie makers can ensure their subtitle data is accurate, consistent, and efficiently processed. The best part? This solution doesn't require any AI calls or complex setup; it's straightforward to integrate into existing applications.

Request/Response Basics

When using the LLM Dev Utilities API, you'll typically send a request containing the corrupted SRT/VTT subtitle file as input. The response will include the cleaned and formatted subtitle data, along with other useful metadata.

Think of the request like sending a package to be repaired and returned. You provide the broken subtitle file, and the API returns the fixed version, including any necessary metadata such as the number of tokens used or the timestamp of the original file.

What's included in the response will vary depending on the specific API endpoint you use. However, you can expect to receive clean SRT/VTT subtitles, along with information about the processing time and any errors that occurred during the repair process.

Try it Out

The LLM Dev Utilities API is available for free on RapidAPI, making it an excellent choice for developers and indie makers looking to improve their subtitle processing workflow. With a free tier available, you can test the API with minimal risk and see the benefits of clean and fixed SRT/VTT subtitle files for yourself.

Take advantage of this powerful tool and streamline your media creation and distribution process. Try out the LLM Dev Utilities API today and experience the convenience of accurate, reliable, and efficient subtitle processing.

Quick example

curl -X POST 'https://llm-dev-utilities.p.rapidapi.com/json-repair' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: llm-dev-utilities.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"text":"{name:\"Ann\", age:30,}"}'

Try it: the LLM Dev Utilities API is live on RapidAPI with a free tier — get your key here.

Repair broken JSON returned by LLMs with a tiny API

César Freitas — Fri, 16 Oct 2026 14:00:01 +0000

Repair Broken JSON returned by LLMs with a Tiny API

When working with Large Language Models (LLMs), developers often rely on APIs that return complex data structures in the form of JSON. However, sometimes these responses can become malformed or corrupted, leading to frustrating errors and broken applications.

The problem is not just about debugging; it's about dealing with unpredictable output from models that are supposed to produce high-quality results. In this scenario, using a LLM Dev Utilities API can be a lifesaver.

How the LLM Dev Utilities API solves the problem

The LLM Dev Utilities API is designed specifically for developers and makers who need to handle broken JSON responses from LLM APIs. It offers a range of features that can help repair or transform these responses into something usable.

One key feature is its ability to clean and format subtitles, which are often returned in SRT (SubRip) or VTT (WebVTT) formats. This can be especially helpful when working with video applications that require accurate timestamping.

Another important feature is the API's token budget compression tool. When dealing with large amounts of text data, it's essential to keep the model's token budget in check to avoid overflows and errors. The API's compressor helps reduce the size of the text data while preserving its integrity.

The LLM Dev Utilities API also includes a log triage feature that can analyze and categorize logs generated by the model. This is particularly useful for developers who need to monitor the performance and behavior of their models in real-time.

What to Expect from a Typical Request/Response

When using the LLM Dev Utilities API, you can expect a simple request-response pattern. Here's what you might see:

A POST request to the API endpoint with your data, such as corrupted JSON or text data.
The API processes your request and returns a response that includes the repaired or transformed data.
The response might include a token budget compression result if applicable.

The format of this response will depend on the specific features you requested and the type of data being processed. However, rest assured that the API's output is always well-formed and easily interpretable.

Try it Out: A Call to Action

If you're struggling with broken JSON responses from LLM APIs or simply need a reliable tool for data transformation and cleaning, we encourage you to try out the LLM Dev Utilities API. With its range of features and fast, deterministic processing, this API is an essential tool for any developer working with Large Language Models.

The best part? RapidAPI offers a free tier that allows you to get started without incurring costs. Simply sign up for a RapidAPI account, explore the LLM Dev Utilities API documentation, and start experimenting with its features today.

By leveraging the LLM Dev Utilities API, you can save time and frustration when dealing with broken JSON responses from LLM APIs. With its robust set of features and fast processing, this tiny API is an indispensable tool for any developer or maker working in this space.

Quick example

curl -X POST 'https://llm-dev-utilities.p.rapidapi.com/json-repair' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: llm-dev-utilities.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"text":"{name:\"Ann\", age:30,}"}'

Try it: the LLM Dev Utilities API is live on RapidAPI with a free tier — get your key here.

Add voiceovers to faceless videos with a simple TTS API

César Freitas — Thu, 15 Oct 2026 14:00:02 +0000

Adding voiceovers to faceless videos can be a powerful way to enhance their engagement and emotional impact. However, creating natural-sounding audio for these videos can be a challenging task, especially when dealing with languages that are not widely supported by existing text-to-speech (TTS) APIs.

Traditional TTS APIs often struggle with providing high-quality, nuanced speech in certain languages or dialects, which can result in awkward-sounding audio that detracts from the overall experience. This is particularly true for faceless videos, where the absence of a human voice can make any synthesized audio sound even more artificial.

Fortunately, there are solutions available that can help overcome these challenges. The Multilingual Text-to-Speech API is one such solution that can convert text to natural-sounding speech in multiple languages, including 9 languages with 54 voices.

This API uses advanced algorithms and machine learning techniques to generate high-quality speech that sounds like it was recorded by a human. It supports a wide range of languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, and Chinese, among others. This means that developers and indie makers can use this API to create voiceovers in any language they need.

The Multilingual Text-to-Speech API returns speech audio as MP3 or WAV files, which can be easily integrated into video editing software or other media playback tools. One of the most impressive features of this API is that it can generate high-quality speech in a single request, without requiring multiple requests for different voices or languages.

In terms of what a typical request/response looks like, here's a general idea of what to expect:

When a developer sends a text-to-speech request to the Multilingual Text-to-Speech API, they will need to provide several key pieces of information, including the language code and voice ID. For example, if a developer wants to generate speech in English with a specific voice, they might send a request like this: "What does 'Hello, world!' sound like in English (UK)?" The API will then respond with an MP3 or WAV file containing the synthesized speech.

The response will typically include a single audio file that contains the text-to-speech output, along with some metadata about the file. This might include information like the language code, voice ID, and duration of the audio clip.

If you're looking for a reliable way to add voiceovers to your faceless videos without having to spend hours perfecting the speech yourself, the Multilingual Text-to-Speech API is definitely worth considering. And if you're just starting out with this type of project, don't be afraid to try it out on RapidAPI – their free tier offers a generous amount of usage and can help you get started quickly.

Keep in mind that as with any TTS API, the quality of the output will depend on the specific use case and requirements. However, with careful setup and testing, the Multilingual Text-to-Speech API has the potential to deliver high-quality, engaging voiceovers for your faceless videos.

Quick example

curl -X POST 'https://multilingual-text-to-speech2.p.rapidapi.com/v1/tts' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: multilingual-text-to-speech2.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"text":"Hello world","voice":"af_alloy","format":"mp3"}'

Try it: the Multilingual Text-to-Speech API is live on RapidAPI with a free tier — get your key here.

A cheap multilingual text-to-speech API (54 voices, 9 languages)

César Freitas — Wed, 14 Oct 2026 14:00:02 +0000

A cheap multilingual text-to-speech API can be a game-changer for developers and indie makers looking to add voice functionality to their projects without breaking the bank.

The problem is that most text-to-speech APIs are either extremely expensive or limited in terms of languages and voices. This can make it difficult for developers to find an API that meets their needs, especially when working on projects that require support for multiple languages.

Fortunately, there are some APIs that offer a more affordable solution with a wider range of languages and voices. One such API is the multilingual text-to-speech service we'll be discussing here.

This API solves the problem by providing a single endpoint that can convert text to natural speech in 9 different languages, using 54 different voices. This means that developers can use this API to create voice assistants, audiobooks, podcasts, and more, without having to worry about finding multiple APIs to support different languages.

In terms of how the API works, it's relatively simple. A developer submits a text request with the desired language and voice, and the API returns an MP3 or WAV audio file that contains the spoken text. The response is typically sent as a single file, making it easy for developers to integrate into their projects.

Here's what a typical request/response looks like:

A developer sends a JSON payload to the API with the following information:

text: the text they want to convert to speech
language: the language they want the speech to be in (e.g. "en", "fr", etc.)
voice: the voice they want to use (e.g. "male", "female", etc.)

The API processes this information and returns a file that contains the spoken text, either as an MP3 or WAV file.

One of the benefits of this API is its flexibility. Developers can easily switch between different languages and voices without having to worry about finding new APIs or modifying their code. This makes it a great option for projects that need to support multiple languages, such as chatbots, voice assistants, and more.

In short, the multilingual text-to-speech API offers a cost-effective solution for developers who need to create voice functionality in multiple languages. With 54 voices and 9 languages to choose from, this API has the potential to be a game-changer for indie makers and developers looking to add voice capabilities to their projects.

If you're interested in trying out this API and taking advantage of its free tier, we recommend checking it out on RapidAPI. RapidAPI offers a wide range of APIs, including this multilingual text-to-speech service, with a free tier that allows developers to try out new APIs without committing to a paid plan. So why not give it a shot? Create an account, sign up for the API, and start experimenting with this powerful tool today!

Quick example

curl -X POST 'https://multilingual-text-to-speech2.p.rapidapi.com/v1/tts' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: multilingual-text-to-speech2.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"text":"Hello world","voice":"af_alloy","format":"mp3"}'

Try it: the Multilingual Text-to-Speech API is live on RapidAPI with a free tier — get your key here.

OCR scanned PDFs into searchable, structured text via API

César Freitas — Tue, 13 Oct 2026 14:00:02 +0000

OCR Scanned PDFs into Searchable, Structured Text via API

As a developer, have you ever encountered a scanned PDF that's more of a hindrance than a help? Maybe it's an invoice or receipt from a client that requires your attention, but the image-quality is so poor that even the simplest text extraction tools struggle to make sense of it. You know the feeling - you're stuck staring at a jumbled mess of characters and symbols, wondering if anyone will ever be able to read it.

That's where the Document Intelligence API comes in. This powerful tool can take any PDF, whether digital or scanned, and transform it into clean, structured text that's perfect for machine learning models (LLM) or natural language processing (NLP). But how does it do it?

Solving the Problem with AI-Powered OCR

The Document Intelligence API uses advanced artificial intelligence (AI) algorithms to perform Optical Character Recognition (OCR) on your PDF. This means that even the most obscure characters, fonts, and layouts are recognized and decoded into plain text. The process is incredibly efficient, allowing you to extract relevant information from scanned documents in a matter of seconds.

But OCR alone isn't enough - the API also includes advanced data extraction capabilities that can identify specific types of content, such as invoices or receipts. This allows you to tap into the full potential of your PDFs and access the data you need to make informed decisions.

Request/Response Example

When you call the Document Intelligence API with a scanned PDF, it responds with a JSON object containing the extracted text and structured metadata. The response might look something like this:

text: A string containing the clean, OCR-derived text from the PDF.
data: An array of objects containing the extracted data, such as invoices or receipts. Each object in the array would include fields like type, date, and amount.

The response is designed to be human-readable, making it easy for you to access and process the extracted data.

Getting Started with the Document Intelligence API

If you're interested in trying out the Document Intelligence API for yourself, I recommend checking out RapidAPI's free tier. With a few clicks, you can create an account, select the API, and start testing its capabilities. The rapidAPI platform provides detailed documentation, code examples, and even sample data to get you started.

Don't be discouraged if it takes some time to learn how to use the API - with practice, you'll become proficient in extracting valuable insights from scanned PDFs. And who knows? You might just stumble upon a hidden treasure trove of data that can help take your project or business to the next level.

So why wait? Head over to RapidAPI and start exploring the Document Intelligence API today. With its powerful OCR capabilities and advanced data extraction features, you'll be unlocking the secrets of scanned PDFs in no time.

Quick example

curl -X POST 'https://document-intelligence3.p.rapidapi.com/v1/pdf-to-markdown' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: document-intelligence3.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://example.com/file.pdf"}'

Try it: the Document Intelligence API is live on RapidAPI with a free tier — get your key here.

Extract invoice and receipt data to JSON with one API call

César Freitas — Mon, 12 Oct 2026 14:00:02 +0000

Extracting invoice and receipt data from physical documents can be a daunting task for developers and indie makers alike. With the rise of digital payments and online transactions, it's becoming increasingly important to automate this process, but the complexity of extracting relevant data from scanned or digital PDFs makes it a challenging problem.

This is where the Document Intelligence API comes in – an innovative solution that leverages cutting-edge Optical Character Recognition (OCR) technology and natural language processing (NLP) capabilities to transform any digital or scanned PDF into clean, LLM/RAG-ready Markdown text. This not only simplifies data extraction but also ensures the accuracy of the extracted information.

With the Document Intelligence API, you can extract invoice and receipt data from PDFs in a single API call. No longer do you need to manually parse through pages of handwritten notes or scanned receipts, searching for specific keywords like "invoice number" or "date paid." The API's built-in OCR capabilities handle this tedious task for you, ensuring that the extracted data is accurate and reliable.

So, what does a typical request/response look like? When you send a PDF to the Document Intelligence API, it returns a JSON response containing the extracted invoice and receipt data. This includes information such as:

Invoice number
Date of issue or payment
Total amount due
Payment method
Product descriptions

The response also includes the extracted text in Markdown format, making it easy to integrate into your application.

Here's a brief overview of what you can expect from the API:

Request: You send a PDF file containing the invoice or receipt data.
Response: A JSON object containing the extracted invoice and receipt data, as well as the original Markdown text.
Data: The JSON response includes information such as invoice number, date, total amount due, payment method, and product descriptions.

If you're interested in trying out the Document Intelligence API for yourself, I recommend checking out RapidAPI's free tier. With their free plan, you can send a limited number of requests per month without having to pay any fees. This is an excellent opportunity to test the API, extract some invoice data, and see firsthand how it can simplify your development process.

By leveraging the Document Intelligence API, you can streamline your workflow, reduce manual errors, and focus on more complex tasks. Don't let the complexity of extracting invoice and receipt data hold you back – try out the API today and see the difference it can make for yourself.

Quick example

curl -X POST 'https://document-intelligence3.p.rapidapi.com/v1/pdf-to-markdown' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: document-intelligence3.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://example.com/file.pdf"}'

Try it: the Document Intelligence API is live on RapidAPI with a free tier — get your key here.

Convert PDFs to clean Markdown for your RAG pipeline (with OCR)

César Freitas — Sun, 11 Oct 2026 14:00:02 +0000

Converting PDFs to clean Markdown for your RAG Pipeline (with OCR)

As a developer, have you ever struggled with working on a project that relies heavily on receipts and invoices? Perhaps you're building an e-commerce platform or an invoice tracking system. In such cases, having access to high-quality receipt data is crucial. However, dealing with PDFs can be a nightmare. Scanned documents are often messy, with text that's difficult to read and recognize.

Document Intelligence API offers a solution to this problem by converting digital or scanned PDFs into clean, LLM/RAG-ready Markdown with built-in OCR (Optical Character Recognition). This means you can extract relevant information from receipts and invoices and use it in your application. The extracted data is available as JSON, making it easy to integrate into your workflow.

How Does Document Intelligence API Work?

The API takes a PDF file as input and uses advanced algorithms to remove noise, correct OCR errors, and format the text for better readability. This results in clean Markdown that's easily usable by Large Language Models (LLMs) and Reasoning Artificial Generalism (RAG). The built-in OCR capabilities allow it to extract information from scanned documents as well.

The API can handle various types of PDFs, including invoices, receipts, contracts, and more. It can also differentiate between different types of text, such as names, addresses, phone numbers, and dates.

What Does the Request/Response Look Like?

When you send a request to the Document Intelligence API with a PDF file attached, it will return a response in JSON format containing the extracted data. The response includes various fields such as invoice number, date, vendor name, amount paid, etc. depending on the type of document being processed.

For example, if you're sending an invoice PDF, the response might include:

{
"invoiceNumber": "INV001",
"date": "2022-01-01T00:00:00Z",
"vendorName": "ABC Inc.",
"amountPaid": 100.0,
// Additional fields might be present depending on the document type
}

This response is clean, readable, and easily usable by LLMs and RAG systems.

Try Document Intelligence API Today

If you're looking for a reliable way to convert PDFs into clean Markdown with built-in OCR capabilities, look no further than the Document Intelligence API. It's available on RapidAPI, a platform that offers free tiers for developers. With its ease of use and robust features, it's an ideal solution for developers working on projects that rely on receipts and invoices.

Take advantage of the Document Intelligence API today and streamline your workflow with high-quality receipt data. Sign up for the RapidAPI free tier to get started with converting PDFs into clean Markdown and unlock the full potential of your RAG pipeline.

Quick example

curl -X POST 'https://document-intelligence3.p.rapidapi.com/v1/pdf-to-markdown' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: document-intelligence3.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://example.com/file.pdf"}'

Try it: the Document Intelligence API is live on RapidAPI with a free tier — get your key here.

A low-cost alternative to the OpenAI API for everyday text tasks

César Freitas — Sat, 10 Oct 2026 14:00:02 +0000

As developers and indie makers continue to push the boundaries of artificial intelligence in our projects, one challenge that often arises is the cost of using high-end APIs like OpenAI. While their API offers unparalleled capabilities for tasks such as text generation, sentiment analysis, and more, it comes with a hefty price tag.

For many of us, the reality is that we can't afford to use these expensive APIs for our everyday projects, no matter how enticing they may be. That's where AI Content API comes in – a low-cost alternative to OpenAI that offers similar capabilities at a fraction of the cost.

One of the primary tasks that AI Content API excels at is text summarization. This involves taking a large block of text and condensing it into a concise summary, highlighting the main points and key takeaways. Whether you're building a content management system or creating a web app for news aggregation, this feature can be invaluable in streamlining your workflow.

But that's not all – AI Content API also offers a range of other features designed to simplify text-based tasks. For example, it can rewrite poorly written text into something more polished and readable, making it perfect for content editors or copywriters. Additionally, the API can even generate product descriptions, titles, and SEO meta descriptions, saving you time and effort in your e-commerce projects.

Now that we've talked about what AI Content API offers, let's take a look at how a typical request and response work. Imagine you're building a web app that allows users to input a piece of text and then receive a summarized version. Here's an example of what the request might look like: "summarize this article" with the article itself as the body.

The API would respond with something like:

As you can see, the response includes a concise summary of the text (in this case, just 50 characters long), as well as the original full-length text. Of course, this is just one example – the actual output will depend on the specific task and parameters you pass to the API.

While AI Content API offers many benefits, it's worth noting that no API is perfect. There may be limitations or trade-offs, such as accuracy or customization options. However for everyday text tasks, AI Content API has proven itself to be a reliable and cost-effective solution.

If you're interested in trying out AI Content API for yourself, I'd recommend checking out RapidAPI – a platform that allows you to sign up for a free tier, complete with limited requests per month. You can try out the API without breaking the bank, and see whether it meets your needs before committing to a paid plan.

Quick example

curl -X POST 'https://ai-content-api.p.rapidapi.com/v1/ai/product-description' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: ai-content-api.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"name":"Wireless Earbuds","features":"ANC, 30h battery, USB-C","words":55}'

Try it: the AI Content API is live on RapidAPI with a free tier — get your key here.

Rewrite and paraphrase text programmatically with an AI API

César Freitas — Fri, 09 Oct 2026 14:00:01 +0000

Rewrite and Paraphrase Text Programmatically with an AI API

When working with text data, it's often necessary to rewrite or paraphrase existing content to make it more engaging, informative, or SEO-friendly. However, this task can be time-consuming and labor-intensive, especially for large datasets.

Traditional approaches to text rewriting involve using machine learning algorithms that require significant computational resources and expertise in natural language processing (NLP). These solutions often come with high costs and limited accessibility, making them inaccessible to many developers and indie makers.

Fortunately, AI-powered Content APIs have emerged as affordable alternatives for text rewriting. One such API is an open-source alternative to popular AI services like OpenAI.

How the AI Content API Solves the Problem

The AI Content API solves the problem of text rewriting by leveraging advanced NLP models that can analyze and generate human-like text. This API offers a range of capabilities, including:

Text summarization: condensing long documents into concise summaries
Text rewriting: transforming existing content into new versions with improved readability and engagement
Content generation: producing high-quality product descriptions, titles, and SEO meta descriptions

These capabilities make the AI Content API an attractive solution for developers and indie makers looking to automate text-related tasks.

Typical Request/Response Pattern

When using the AI Content API, a typical request consists of providing input text and specifying desired output formats (e.g., summary, rewritten text). The response is then returned in a structured format, which can be easily consumed by downstream applications.

In general, a successful request includes:

Input text: The original content to be rewritten or summarized
Output format: Specifies the type of output expected (e.g., JSON, plain text)
Optional parameters: Additional settings, such as tone preferences or keyword emphasis

The response typically contains the generated output in the specified format, accompanied by metadata and any necessary instructions for further processing.

Next Steps: Try the AI Content API on RapidAPI

If you're looking to automate text-related tasks and need a cost-effective solution, we recommend exploring the AI Content API on RapidAPI. This platform offers a free tier, making it an excellent choice for developers and indie makers on a budget.

To get started, sign up for a RapidAPI account and search for the AI Content API. Review the available pricing plans and select the most suitable option for your needs. Once you've created an account and activated the API key, you can begin experimenting with the API's capabilities and building custom applications to automate text rewriting tasks.

In conclusion, the AI Content API offers a powerful solution for text rewriting and paraphrasing, making it an attractive choice for developers and indie makers seeking affordable alternatives to traditional NLP solutions. By leveraging this API on RapidAPI, you can unlock new possibilities for automating text-related tasks and improving the efficiency of your projects.

Quick example

curl -X POST 'https://ai-content-api.p.rapidapi.com/v1/ai/product-description' \
  -H 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
  -H 'X-RapidAPI-Host: ai-content-api.p.rapidapi.com' \
  -H 'Content-Type: application/json' \
  -d '{"name":"Wireless Earbuds","features":"ANC, 30h battery, USB-C","words":55}'

Try it: the AI Content API is live on RapidAPI with a free tier — get your key here.