documents

Get your documents ready for gen AI

Scan, index, and archive all of your paper documents

Scan, index, and archive all of your paper documents (acquired by Mayan EDMS)

Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser

Finally, a JSONPath implementation for Python that aims to be standard compliant. That's all. Enjoy!

Papermerge OSS

Extraction of machine-readable zone information from passports, visas and id-cards via OCR

Read SVG files and convert them to other formats.

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

Turn any input document into a sophisticated, context-dependent mindmap that distills the meaning and structure of the document.

document organizer with tags and full-text-search, in a simple and clean sqlite3 schema

AI-powered Dropbox search tool for private documents

Open Legal Data Platform

Openai-style, fast & lightweight local language model inference w/ documents

Implementation of the paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.

CHURRO is an OCR toolkit for historical document transcription, built to make handwritten and printed sources readable at high accuracy and lower cost.

Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.

VLMHyperBench – open source фреймворк для оценки возможностей Vision language models (VLM) распознавать документы на русском языке с целью оценки их потенциала для автоматизации документооборота.

Redact PDF/image-based documents, Word, or CSV/XLSX files using a graphical user interface. Demo: https://huggingface.co/spaces/seanpedrickcase/document_redaction or with try with VLMs: https://huggingface.co/spaces/seanpedrickcase/document_redaction_vlm