Image2ASCII

C++ terminal image renderer that converts images into ASCII and colored ASCII art using OpenCV

A new way for AI to search for data
View on GitHub
2GitHub stars

C++, C

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 384cee5f31 (2026-10-10).

Selected work

Tymur Shashok
@TymurShashok

“Added unit-tests, Fixed bugs, made src, resource, and tests folder, QOL”. 12 files, 636 lines in tests, src, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-14. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

ascii-artascii-art-converterc-plus-plusclicomputer-visioncomputer-vision-opencvcppimage-processing

Example questions

The prompt

Paste it into your AI agent. It clones TymurShashok/Image2ASCII at the pinned commit and indexes it on your machine.

Search the GitHub repository TymurShashok/Image2ASCII with XERJ (https://hub.xerj.org/corpus/tymurshashok--image2ascii).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/TymurShashok/Image2ASCII Image2ASCII && git -C Image2ASCII checkout 384cee5f31245c5559e1ca38897fd35d16604917
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Image2ASCII --url http://127.0.0.1:9200 --prefix image2ascii --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.