VideoDocGen
Convert demo/screen-recording videos into structured documentation — a
Markdown "User Guide", extracted screenshots, and a structured
document.json — using only local, pip-installable dependencies.
An open-source project by VOCSO Technologies Pvt. Ltd. · Maintained by Deepak Chauhan · github.com/vocso-com/videodocgen
Guarantees
- Local only. No cloud APIs, no API keys, no model downloads, no network calls at runtime.
- Deterministic & reproducible. Same input + config produce the same output. Runnable in CI.
- Extensible by design. OCR, understanding, rendering, and export are provider interfaces selected by config, so new implementations (cloud AI, additional OCR engines, more output formats) slot in without rework. See ARCHITECTURE.md.
Installation
VideoDocGen needs Python 3.12+ and two command-line tools on your PATH:
FFmpeg (ffmpeg + ffprobe, for video decode and
screenshot extraction) and Tesseract OCR
(tesseract, for reading on-screen text).
1. Install the system tools
# macOS (Homebrew)
brew install ffmpeg tesseract
# Debian / Ubuntu
sudo apt-get update && sudo apt-get install -y ffmpeg tesseract-ocr
# Windows (winget)
winget install Gyan.FFmpeg UB-Mannheim.TesseractOCR
2. Install VideoDocGen
Not yet on PyPI — install from source. (
pip install videodocgenis coming once the release workflow lands.)
git clone https://github.com/vocso-com/videodocgen.git
cd videodocgen
python3.12 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e .
Use pip install -e ".[dev]" instead if you plan to run the tests or contribute
(see Development).
3. Verify your setup
videodocgen doctor
This checks that FFmpeg, ffprobe, Tesseract, OpenCV, and PySceneDetect are all available and prints a ✓/✗ for each. Fix anything marked ✗ before running.
Quickstart
videodocgen run input.mp4
This runs the full pipeline against input.mp4 and writes a Markdown user
guide, extracted screenshots, and document.json to the output directory
(default docs/).
Other commands:
videodocgen batch DIR # process every video in a directory
videodocgen config # print the resolved effective configuration
videodocgen doctor # verify FFmpeg/Tesseract/OpenCV are available
Run videodocgen doctor first if you're unsure whether your environment has
the required system dependencies installed.
Development
pip install -e ".[dev]"
pre-commit install
ruff check .
black --check .
pytest
See CONTRIBUTING.md for the full workflow and ARCHITECTURE.md for the module layout.
About VOCSO
VideoDocGen is developed and maintained by VOCSO Technologies Pvt. Ltd., a software and design studio. We build it in the open so teams everywhere can turn product demos into documentation without manual screenshotting and writing.
GitHub org: @vocso-com · Maintainer: Deepak Chauhan. Contributions are welcome — see CONTRIBUTING.md.
License
MIT © VOCSO Technologies Pvt. Ltd.
Metadata
Release files for videodocgen 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| videodocgen-0.1.0.tar.gz | 60.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| videodocgen-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 101.2 kB
Release files / videodocgen-0.1.0.tar.gz
| Download URL | videodocgen-0.1.0.tar.gz |
|---|---|
| Size | 60.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / videodocgen-0.1.0-py3-none-any.whl
| Download URL | videodocgen-0.1.0-py3-none-any.whl |
|---|---|
| Size | 40.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
4bf219f8fb90a39de307a447fa2341ec8133b471a4303770912365922a28ea25
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 2, 2026.
Transparency log