What do you want to do?
3 use cases
-
Rebuild the audit set and verify every hash
Regenerate the 16-page demo and check that all images match their recorded SHA256 values.
- Veri Ink
- Software and DevOps
- Intermediate
View prompt
Clone https://github.com/znxzsy/VeriInk, create a virtual environment, install it with pip install -e ".[dev]", run python scripts/generate_demo.py, then run pytest -q. Report the number of pages and answer regions produced and whether pytest passed. Verify that examples/gallery/manifest.json lists a SHA256 for each image.
-
Turn a model failure into a reproducible handwriting batch
Trace a failed case to its seed and generation record, then regenerate a matching batch.
- Veri Ink
- Software and DevOps
- Advanced
View prompt
In the VeriInk repo, read docs/ and src/veriink/, then open examples/gallery/manifest.json. For the failure pattern <failure-pattern>, list the matching records with their seed, labels, bounds, and SHA256. Verify that each listed seed, when used for rendering, is covered by the existing validation checks.
-
Regression-test an OCR model on six synthetic hard cases
Check a transcription model on crossed-out, decimal, and mixed-operation handwriting with public hashes.
- Veri Ink
- Software and DevOps
- Intermediate
View prompt
Clone https://github.com/znxzsy/VeriInk, read examples/hardcases/manifest.json, and verify the SHA256 of each synthetic image. Run <model-name> on the six images and report, for each image, whether the transcription matches the visible answer. Verify that every hash matches before you score the model.
How to use Veri Ink
- Check you have what it needs: Python and git installed; Terminal access to create a virtual environment and run commands; Basic familiarity with pip and pytest.
- Open znxzsy/VeriInk on GitHub and read the README and license.
- Run
git clone https://github.com/znxzsy/VeriInk.gitand thencd VeriInk. - Run
python -m venv .venvand thensource .venv/bin/activate. - Run
pip install -e ".[dev]". - Run
python scripts/generate_demo.py, which rebuilds the examples and recomputes every hash before it exits.
These steps come from our top use case, Rebuild the audit set and verify every hash, which also has a copy-paste agent prompt.
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About this repo
- Who it is forBuilt for ML engineers and model evaluators who need reproducible synthetic handwriting data for OCR, multimodal grading, and regression testing.
- Why it is hot
- LanguagePython
- Sourcegithub.com/znxzsy/VeriInk · Back to Hot repos
Requirements
- Python and git installed
- Terminal access to create a virtual environment and run commands
- Basic familiarity with pip and pytest
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Questions about Veri Ink
What is Veri Ink?
VeriInk is a Python tool that renders deterministic synthetic handwriting worksheets from model failures, recording seeds, labels, ink bounds, and file hashes for audit. It is an open-source project on GitHub: https://github.com/znxzsy/VeriInk.
Who is Veri Ink for?
Built for ML engineers and model evaluators who need reproducible synthetic handwriting data for OCR, multimodal grading, and regression testing.
What can I do with Veri Ink?
3 use cases so far, for example: Rebuild the audit set and verify every hash; Turn a model failure into a reproducible handwriting batch; Regression-test an OCR model on six synthetic hard cases. Each has steps and a copy-paste agent prompt.
What do I need to run Veri Ink?
Python and git installed; Terminal access to create a virtual environment and run commands; Basic familiarity with pip and pytest.
What are alternatives to Veri Ink?
Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.
Is Veri Ink safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.