Alternatives to Pdfstract

Xberg is an open-source content intelligence engine that extracts 107 document, web, code, image and audio formats into clean Markdown,

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

OpenAgents is an open-source language agent platform for data analysis, 200+ plugins and autonomous web browsing.

DocLine.ai extracts data from invoices, receipts, contracts, and forms using pre-trained document AI models and no-code custom field

Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.

Milvus is an open-source vector database for billion-scale similarity search, hybrid retrieval, and lake-native RAG workloads

Chat2DB turns plain English into SQL across 40+ databases in an open-source AI SQL client that keeps query execution on your own machine.

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Lido extracts data from PDFs, invoices, and scans into Excel or CSV with zero templates and no training.

Vespa is an open-source AI search platform for hybrid vector, text, and tensor retrieval with machine-learned ranking.

LanceDB is an open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Open-source, self-hosted agentic data assistant that connects to your databases, writes SQL and code, and runs analysis in sandboxes

pgvector brings open-source vector similarity search to Postgres so embeddings live next to your relational data.

Vespa AI is an open-source AI search platform for hybrid vector, text and structured retrieval with ML ranking in one query pass.

Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.

Apache Doris unifies OLAP analytics, full-text search, and vector search in one open-source SQL engine.

Open-source CLI that turns 18 source types into AI skills and RAG knowledge for 22 AI platforms.

Molku extracts data from PDFs, images, and handwritten documents, then auto-fills your PDF or Google Sheets templates.

Knowhere parses PDFs, spreadsheets, slides, and scans into source-linked structured JSON your agents can cite and verify.

Databend is an open-source, cloud-native data warehouse in Rust that runs BI analytics, vector search, full-text search and geospatial on

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

Run LLM inference, embeddings, and ML training directly inside PostgreSQL using SQL functions, or use the Korvus SDK for RAG pipelines.

Free, open-source Python framework for extracting structured data from documents using LLMs and decision models with minimal code

PDF Dino extracts structured data from PDFs — invoices, statements, contracts — into JSON, Excel, or CSV using plain-language instructions.

Free, open-source document AI, team management, and growth tools that you self-host with your own API keys.

Instill Core is a closed-beta AI pipeline platform for systematic review extraction, with the hosted service discontinued as of May 29,

openProd.io turns supplier PDFs and spreadsheets into checked, PIM-ready product data for Pimcore, Akeneo and Ergonode.

Deasy Labs turns SharePoint, email archives, and PDF piles into curated, metadata-enriched datasets ready for RAG and agent pipelines.

Open-source Python PDF parsing library that routes each page to 10+ AI or rule-based extraction backends via one normalized call.