docling-project/doclingGitHub
calls docext “if you need an on-premises, OCR-free extraction toolkit with benchmarking pipelines”
Get your documents ready for gen AI
66.4kPythonactive
NanoNets/docext Alternatives
docext is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
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These projects were analysed and named docext among their alternatives. The relationship is not symmetric — how docext rates them is a separate judgement, made when docext is analysed in its own right.
datalab-to/markerGitHub
calls docext “When you want an OCR-free, on-prem toolkit with a built-in benchmark suite.”
Convert PDF to markdown + JSON quickly with high accuracy
39.0kPythonactive
firecrawl/anydocGitHub
calls docext “OCR-free conversion toolkit; choose for benchmarking or needing both JSON and Markdown outputs.”
Convert Word, PowerPoint, Excel, OpenDocument, RTF, EPUB, CSV, and PDF to clean Markdown. Built in Rust, with Node.js and Python bindings.
19.8kRustactive
getomni-ai/zeroxGitHub
calls docext “when you want an OCR-free vision-model-based extraction toolkit for bulk processing.”
OCR & Document Extraction using vision models
12.3kTypeScriptslowing
adithya-s-k/omniparseGitHub
calls docext “choose it for a lightweight OCR-free document-to-markdown toolkit under Apache-2.0, if you don't need multimedia.”
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
7.8kPythonslowing
oomol-lab/pdf-craftGitHub
calls docext “OCR-free markdown conversion using vision models; a direct peer when you prefer an on-premises vision-model-based toolkit.”
PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.
6.2kPythonactive
google/langextractGitHub
calls docext “Choose for an OCR-free, model-based document extraction and benchmarking toolkit if you prefer deterministic ML over LLM calls.”
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
38.5kPythonactive
firecrawl/pdf-inspectorGitHub
calls docext “choose it for an on-premises, OCR-free markdown/structured extraction toolkit with benchmark harness.”
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
17.9kRustactive
pymupdf/PyMuPDFGitHub
calls docext “Choose for an on-premises, OCR-free unstructured data extraction and Markdown conversion toolkit with a benchmarking component, if you want a self-contained extraction pipeline.”
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
10.5kPythonactive
opendatalab/PDF-Extract-KitGitHub
calls docext “when you want OCR-free extraction with a benchmarking toolkit”
A Comprehensive Toolkit for High-Quality PDF Content Extraction
10.0kPythondormant
xberg-io/xbergGitHub
calls docext “when you need an OCR-free on-premises Python extraction toolkit and value the IDP benchmark integration.”
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured data from 101 formats (115 file extensions) plus code intelligence for 371 code languages. 15 language bindings — Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, TypeScript — plus CLI, REST API, and MCP server.
9.2kRustactive
Zipstack/unstractGitHub
calls docext “choose when you want an Apache-licensed, OCR-free Python extraction/benchmark toolkit that fits your own pipeline better than an AGPL platform.”
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
7.2kPythonactive
Topdu/OpenOCRGitHub
calls docext “OCR-free document extraction and markdown conversion, a different approach from traditional OCR pipelines.”
OpenOCR: An Open-Source Toolkit for General-OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful reproductions of the core implementations from a wide range of academic papers.
1.4kPythonactive