docusealco/docuseal

This page introduces an external open-source repository. It is not an HDATF product.

What it does

An open-source, self-hosted tool for creating PDF forms that people fill and sign online. It offers a WYSIWYG field builder, multiple submitters per document, PDF signature verification, and an API with webhooks.

How it helps ATF

Worth comparing with the approval and document flow in ATF Works, especially signing by several people and PDF signature verification. Its API and webhooks could be a reference for linking signed documents back to related work.

License

AGPL-3.0 Network copyleft. Offering a modified version as a service also requires releasing the source. Review before any product use.

More in this category

• run-llama/liteparse
  A PDF parser that runs locally and extracts text with spatial positions and bounding boxes, without cloud services or LLM features. It bundles Tesseract OCR, can call external OCR servers, and checks whether a document needs heavier parsing.
• iamgio/quarkdown
  Quarkdown extends Markdown with functions, variables and a standard library for layout, math, conditions and loops. One project can compile into a book, academic paper, knowledge base, presentation or website.
• opendatalab/MinerU
  Converts PDFs, Office files, scanned document images and other formats into Markdown or JSON for LLM and agent workflows. Version 4.0 combines parsing, a local document library and service tools, with parsing tiers from fast previews to demanding layouts.
• refactoringhq/tolaria
  A desktop app for macOS, Windows and Linux for managing markdown knowledge bases. Notes stay plain markdown files, every vault is a git repository, and it works offline with no accounts.
• baidu/Unlimited-OCR
  An OCR model aimed at one-shot long-horizon parsing, intended to push DeepSeek-OCR one step further. It runs inference with Hugging Face Transformers on NVIDIA GPUs or with vLLM, and supports training with ms-swift.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.