# Detextify Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/detextify
> Markdown URL: https://aitinkerers.org/technologies/detextify.md
> Technology record last updated: 2026-04-16T21:11:58Z
> Generated: 2026-09-22T12:37:41Z

A specialized deep learning tool that removes unwanted text and watermarks from images while preserving underlying textures.

Detextify leverages a modified U-Net architecture to automate the removal of text overlays and watermarks from visual assets. It operates by generating precise masks for localized inpainting, ensuring that background patterns (like fabric weaves or architectural details) remain intact. This tool is built for developers and designers who need to clean datasets or restore archival photos without the manual labor of Photoshop's content-aware fill. By focusing on high-resolution output and edge consistency, it eliminates the ghosting artifacts common in generic image editors.

- Official technology site: https://github.com/the-cryptic-coloration/detextify
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Storia Lab](https://nyc.aitinkerers.org/talks/rsvp_v2DaAK0pn_c)

Storia AI is building contextual intelligence for storytelling. After launching our storyboarding tool for filmmakers, we learnt about their ardent need for control over AI-generated imagery. We are now actively working on a slew of very specialized image post-processing APIs that can bring control back into human hands. Our first model, Textify, has the ability to seamlessly replace AI-generated gibberish with your desired text. There are a lot more APIs to come, and, if you're in the business of image generation, we're excited to hear more about your controllability needs.

- Event context: AI Tinkerers NYC - October Meetup — 2023-10-26 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_v2DaAK0pn_c

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