Category

Document Parsing, OCR, and Chunking

Compare 14 Document Parsing, OCR, and Chunking tools collected by AiFolder. Review what each product does, follow verification signals, and open related options before choosing a tool for your workflow.

Showing 14 of 14

Related tasks

Apache Tika

Apache Tika

Document Parsing, OCR, and Chunking

Apache Tika is a content-detection and extraction toolkit that reads text and metadata from more than a thousand file types through Java, server, and parser APIs.

rag-retrieval
00
Chonkie

Chonkie

Document Parsing, OCR, and Chunking

Chonkie is an open-source chunking and ingestion library with token, sentence, recursive, semantic, late, code, table, and model-assisted chunkers plus a cloud service.

rag-retrieval
00
Chunkr

Chunkr

Document Parsing, OCR, and Chunking

Chunkr is an open-source document intelligence API with a separate managed service for layout analysis, OCR, structured output, and token-aware semantic chunking.

rag-retrieval
00
Docling

Docling

Document Parsing, OCR, and Chunking

Docling is an open-source document conversion toolkit for PDF, office, HTML, image, audio, and structured formats, preserving layout, tables, reading order, and provenance.

rag-retrieval
00
Marker

Marker

Document Parsing, OCR, and Chunking

Marker is an open-source document converter from Datalab that turns PDFs, images, presentations, and office files into Markdown, JSON, HTML, chunks, and structured blocks.

rag-retrieval
00
MegaParse

MegaParse

Document Parsing, OCR, and Chunking

MegaParse is an open-source parser for PDF, DOCX, PPTX, spreadsheet, CSV, and text inputs, producing formats intended for LLM ingestion.

rag-retrieval
00
MinerU

MinerU

Document Parsing, OCR, and Chunking

MinerU is an open-source document parsing toolkit that converts complex PDFs into Markdown or JSON while handling formulas, tables, images, reading order, and OCR.

rag-retrieval
00
PaddleOCR

PaddleOCR

Document Parsing, OCR, and Chunking

PaddleOCR is an open-source OCR and document-AI toolkit with multilingual text recognition, layout analysis, table and formula recognition, and document parsing pipelines.

rag-retrieval
00
pdfplumber

pdfplumber

Document Parsing, OCR, and Chunking

pdfplumber is a Python library for detailed PDF text, character, line, rectangle, and table extraction with access to page geometry.

rag-retrieval
00
PyMuPDF

PyMuPDF

Document Parsing, OCR, and Chunking

PyMuPDF is a Python binding for MuPDF that extracts, searches, renders, and modifies PDFs and other documents, including text blocks, images, tables, and coordinates.

rag-retrieval
00
pypdf

pypdf

Document Parsing, OCR, and Chunking

pypdf is a pure-Python PDF library for reading, splitting, merging, transforming, and extracting text and metadata without external runtime dependencies.

rag-retrieval
00
Surya

Surya

Document Parsing, OCR, and Chunking

Surya is an open-source document OCR toolkit for multilingual text recognition, layout analysis, reading order, and table recognition.

rag-retrieval
00
Tesseract OCR

Tesseract OCR

Document Parsing, OCR, and Chunking

Tesseract OCR is an open-source optical character recognition engine with command-line and library interfaces and trained language data for many writing systems.

rag-retrieval
00
Unstructured

Unstructured

Document Parsing, OCR, and Chunking

Unstructured is an open-source library and commercial platform for partitioning, cleaning, staging, and chunking PDFs, office documents, HTML, emails, and images for downstream retrieval.

rag-retrieval
00
FAQ

Document Parsing, OCR, and Chunking directory questions

?What is available in Document Parsing, OCR, and Chunking right now?

14 listings match this category. This result page includes Apache Tika, Chonkie, Chunkr. Open a listing to inspect its description and destination.

?How should I compare the Document Parsing, OCR, and Chunking listings on this page?

Shortlist products by the task and output you need, then check their official sites for the current features and pricing. A category match does not mean all listed products have identical capabilities.