DEV Community: robot1996

What changes when a transparent video is meant for a real website

robot1996 — Sun, 27 Sep 2026 13:31:14 +0000

I kept running into the same gap with video background removal: getting a transparent result is only the first half of the job. A website still needs a file that can be delivered, embedded, and given a safe fallback when a browser cannot play the preferred format.

I built AlphaPublish around that handoff. It starts with a short video, lets you review a transparent result, and then gives you either a download or a stable hosted embed intended for HTML, Webflow, and Framer. The hosted version is designed to keep the embed stable when you replace the source later, with browser-aware playback and a poster fallback.

The narrow question I am testing is whether that delivery layer is more useful to designers and small teams than another generic "remove background" tool. The workflow and constraints are here: transparent video publishing workflow.

I would especially value feedback on the embed and fallback expectations people have when transparent video has to work outside a controlled demo.

I built a preview-first workflow for reducing background music under dialogue

robot1996 — Tue, 22 Sep 2026 23:40:41 +0000

Many background-music tools force the decision before you know whether a difficult mix will actually improve. I built a background music remover around the opposite sequence: upload a supported MP3, WAV, or MP4, compare a short processed preview against the same moment, and only continue to a full export if the spoken content is clearer.

For MP4 files, the original video stays on the device; the workflow extracts audio for processing. The result still depends on the source mix, so the preview is deliberately the proof rather than a blanket quality claim.

I added channel-safe funnel events for upload, preview, checkout, purchase, and delivery. What would you want to see in a preview before trusting a full export?

I built an AI tattoo planning workflow that stops before the “ready to tattoo” claim

robot1996 — Sat, 12 Sep 2026 11:47:22 +0000

Most AI tattoo generators jump from a prompt to an image and leave the risky part implied: that the image is somehow ready to put on skin.

I built TattooPreview AI around a narrower job: help a person and their tattoo artist discuss a direction before ink. A written idea becomes a few concept directions, then stencil-style linework and an approximate placement preview on a site-provided adult body model.

The product deliberately keeps a few boundaries visible:

it is for planning and artist review, not final tattoo instructions;
placement uses site-provided models, not personal body-photo uploads;
results can need cleanup, resizing, redraw, or a different placement;
users should avoid protected characters, brand marks, celebrity likenesses, and requests to copy a living artist’s exact style.

I would value feedback from builders or artists on whether this workflow makes a consultation clearer instead of creating false certainty.

Try the AI tattoo generator for artist review or see the AI tattoo stencil generator.

A browser-first way to reduce a green photo cast — and when local correction is not enough

robot1996 — Thu, 10 Sep 2026 14:57:26 +0000

A strong yellow-green photo treatment is not always one problem.

For a mild or moderate cast, ordinary pixel correction may be enough. It is fast, deterministic, and can stay entirely in the browser. But when a heavy effect has compressed colors or changed visible details, moving RGB sliders cannot reconstruct information that is no longer present.

I built Matcha Filter Remover around that distinction:

Low and Medium run locally in the browser.
AI-assisted High is optional for difficult photos.
Every AI result is labeled as an edit, not a recovered original.
The before/after comparison stays visible before download.
The tool refuses face reveal, hidden-content recovery, nudification, and non-consensual uses.

The hardest product decision was not model selection. It was deciding when to stop claiming “correction” and start explaining that a generated result may change faces, hands, text, clothing, lighting, or background details.

I would value feedback on two questions:

Is the local-versus-AI split clear before upload?
Does the comparison make the limitations obvious enough?

The current version supports JPEG, PNG, and WebP up to 10 MB. It is an independent tool and is not affiliated with TikTok or any filter platform.

What we learned building a review-first background-noise cleanup workflow

robot1996 — Sat, 29 Aug 2026 07:58:45 +0000

Noise reduction demos can look convincing while hiding the part that matters: whether speech still sounds useful after cleanup. We built NoiseVanish around a simple review loop—use a spoken-word file, reduce steady background noise, compare the same moment before and after, and keep the untouched source.

The tool is aimed at steady noise around speech, such as fan or air-conditioning wash and electrical hum. It does not promise to remove every transient sound, and the representative sample is labeled because results vary by source.

We would value feedback on the review flow, especially whether the A/B comparison makes the limitations clear before someone commits to a full processed file.

NoiseVanish background noise removal workspace

I built a fan-made Palworld breeding calculator and Pal database (browser-based)

robot1996 — Thu, 06 Aug 2026 16:31:07 +0000

I've been playing Palworld and wanted a quick way to look up breeding results without alt-tabbing out of the game. I ended up building a small companion site and wanted to share how it came together.

What I built: PalworldTools — an independent, unofficial companion site for Palworld players. It's free, runs in the browser, and needs no account.

Two main tools:

Breeding Calculator — forward and reverse breeding lookup using versioned data. Pick parents and see likely offspring, or find which parents produce a target Pal.
Pal Database — search and filter Pal records, open details, or jump into the calculator.

A few decisions worth noting

Unofficial but transparent. It's not affiliated with, endorsed by, or sponsored by Pocketpair. Data is compiled from public web sources and official game resources where available, and the data version is shown on each page — results can be incomplete or outdated.
Versioned data. Breeding rules change between game versions, so pages carry the data version they were built from rather than pretending results are eternal.
Free, no account. No login, no lock-in. It's a read/query tool, not a save-your-progress service.

Would be happy for feedback on the calculator's usefulness or the data presentation.

Try it: PalworldTools

Or go straight to the Palworld breeding calculator or the Pal database.

Disclaimer: PalworldTools is an independent, unofficial companion site. Not affiliated with, endorsed by, or sponsored by Pocketpair, Inc. Palworld is a game by Pocketpair, Inc.; game names and related materials are the property of their respective owners.

I built a browser-based image to pixel art converter (no upload, no account)

robot1996 — Thu, 06 Aug 2026 07:24:27 +0000

I've been working on a small browser tool and wanted to share how it came together.

The problem: turning an image into editable pixel art — for a game sprite, a craft pattern, or a quick mosaic — usually meant installing heavy software or uploading your image somewhere. I wanted a version that runs entirely in the browser.

What I built: PixelArtNow — a free, client-side tool with two focused workflows:

Image to Pixel Art — converts an image into an editable pixel grid. You get a 4–32 color auto palette you can replace, paint/erase/pick tools, a grid overlay, and PNG or printable-PDF exports.
Pixelate Image — applies a focused pixelation/mosaic to a whole image or a rectangular selection, with adjustable block size.

A few decisions worth noting

No backend, no upload. All processing happens in the browser. No account, no cloud-save, no image leaves the device.
Editable output, not just a filter. The grid editor is the point — it's a starting asset for a small raster, a palette study, or a printable reference.
Honest limits. One image at a time, PNG/JPEG/WebP, up to 15 MiB / 8192 px / 40 MP. The PDF is a printable grid, not a vector or production spec.

Would be happy for feedback on the tool or the write-up.

Try it: PixelArtNow

You can also go straight to the Image to Pixel Art Converter or Pixelate Image Online.

I built an inches to millimeters converter for manufacturing and hardware checks

robot1996 — Fri, 03 Jul 2026 17:05:06 +0000

I built Inches to MM as a small, fast reference tool for inch-to-millimeter work.

The site is aimed at practical measurement checks rather than a heavy calculator app:

convert inches to millimeters directly;
sanity-check hardware and manufacturing dimensions;
use related reference pages for fasteners, drill bits, and tolerance grades;
keep a shareable browser URL for quick lookups.

Main link: inches to mm converter

Useful reference pages:

The goal is simple: answer the conversion fast, then help users move from a raw number to practical shop/manufacturing context.

If you work with CAD notes, fasteners, drill sizes, machining tolerances, or product dimensions, feedback is welcome.

I built a simple inches to centimeters converter with chart and screen-size pages

robot1996 — Fri, 03 Jul 2026 15:30:53 +0000

I built Inches to CM as a small, fast reference tool for everyday inch / centimeter conversion work.

The site focuses on a few practical cases:

convert inches to centimeters and centimeters to inches directly;
open dedicated pages for common values such as 28 inches to cm or 16 cm to inches;
use chart pages when you need a quick reference table;
check common screen sizes in centimeters.

Main link: inches to cm converter

Useful pages:

The goal is not to make a complex app. It is meant to be a clean reference page that loads quickly and gives users a shareable URL for each common conversion.

If you work with product dimensions, screen measurements, education worksheets, or quick conversion checks, feedback is welcome.

I built a small mm to inches converter with fractional-inch presets

robot1996 — Wed, 24 Jun 2026 02:43:12 +0000

I built a small browser tool for a problem that shows up more often than I expected: converting millimeters to decimal and fractional inches.

The tool is here: mm to inches

Why I made it:

Product dimensions often mix metric and imperial units.
Woodworking and DIY users usually need fractional inches, not only decimal inches.
3D printing and engineering users often need more decimal precision.
Search users often want a direct answer page for a specific value, such as 10 mm to inches or 3/8 inch to mm.

Current features:

mm → inches and inches → mm
Decimal precision controls
Fraction rounding such as 1/16" and 1/32"
Common presets and conversion links
Chart pages for quick reference

I am keeping the scope intentionally narrow: fast conversion, clean reference pages, and no account requirement.

Feedback welcome, especially from people who work with woodworking, 3D printing, product dimensions, or engineering measurements.

I built a first-pass AI video screening tool for suspicious social links

robot1996 — Fri, 19 Jun 2026 07:21:56 +0000

I built a small web tool for a problem I keep seeing: people encounter a suspicious social video and want a quick way to decide whether it deserves more verification before they share it.

The tool is called AI Video Detector. It accepts public social video links and uploads, then generates a first-pass evidence report.

The report focuses on cautious signals rather than final claims:

source/media access quality
visual artifact signals
motion consistency signals
compression signals
audio-video consistency where available
likelihood and confidence with limitations

The important product decision: the tool does not say it can prove whether a video is real or fake. It gives a structured signal report so users can decide whether to verify further, find the original source, or avoid sharing too quickly.

I’m looking for feedback on two things:

Is the report language cautious enough for a sensitive category?
Which signals would make the report more useful without overclaiming accuracy?

I built a first-pass AI video screening tool for suspicious social links

robot1996 — Fri, 19 Jun 2026 03:34:57 +0000

I built a small web tool for a problem I keep seeing: people encounter a suspicious social video and want a quick way to decide whether it deserves more verification before they share it.

The tool is called AI Video Detector. It accepts public social video links and uploads, then generates a first-pass evidence report.

The report focuses on cautious signals rather than final claims:

source/media access quality
visual artifact signals
motion consistency signals
compression signals
audio-video consistency where available
likelihood and confidence with limitations

I’m looking for feedback on two things:

Is the report language cautious enough for a sensitive category?
Which signals would make the report more useful without overclaiming accuracy?