DocuMind unifies enterprise multi-format parsing, local Tesseract OCR, hybrid vector RRF retrieval, and verifiable citations into one living workspace. Automate follow-through, detect stalled clauses early, and move 10x faster.
Select a real enterprise document scenario to witness multi-format parsing, grounded Qwen synthesis, and interactive spatial citations.
Zero outbound API calls. Runs fully on Hugging Face open weights and local SQLite or Docker pgvector.
Every factual assertion is tethered to verifiable document, section, and page spatial bounding boxes.
Reciprocal Rank Fusion merges BM25 lexical token inverted indices with dense vector embeddings in sub-seconds.
Say goodbye to expensive third-party LLM rate limits and unexpected subscription spikes.
Explore how DocuMind processes unstructured files through native OCR, dense vector indexing, and strict anti-hallucination models.
PyMuPDF & Docling ingest PDF, scanned images, DOCX, and tables with layout preservation.
PyMuPDF · DoclingNative local OCR extracts low-contrast scanned receipts and unsearchable images with bounding box coordinates.
Spatial OCR EngineComputes 384d / 1024d embeddings via BGE models alongside BM25 inverted lexical token index.
BGE-M3 · BM25Merges semantic and lexical scores to eliminate vector-only hallucinations and pinpoint rare acronyms.
RRF Algorithm (k=60)Qwen 2.5 synthesizes answers strictly grounded in retrieved passages, with click-to-verify spatial citations.
Qwen 2.5 · Zero HallucinationEverything your team needs to ingest, analyze, extract, and audit multi-format documents without cloud vulnerabilities.
Scanned purchase orders, paper agreements, and mobile receipt snapshots are decoded locally with spatial word bounding boxes and confidence filtering.
Combines lexical token search (BM25) with dense vector embeddings to conquer rare acronyms, code identifiers, and nuanced semantic concepts in one pass.
If an answer is not directly provable in the uploaded passages, DocuMind explicitly abstains: "I couldn't find this information in the selected documents."
Granular access control across Admin, Editor, and Viewer privileges. Strict workspace isolation prevents unauthorized document downloads or leaks.
Switch effortlessly from the lightweight Laptop profile (BAAI/bge-small-en-v1.5) to the high-throughput Server profile (BAAI/bge-m3) with automatic reindexing.
Instant startup with embedded SQLite and asynchronous worker threads for local dev, or full production scaling with PostgreSQL pgvector and Redis.
Compare privacy guarantees, citation proof, token expenses, and OCR latency side-by-side.
| Feature Capability | DocuMind (Local-First) | Generic Cloud LLM APIs | Legacy Keyword Search |
|---|---|---|---|
| Data Privacy & Air-Gap | ✓ 100% On-Prem / No Outbound Network | ✗ Sent to 3rd-party cloud servers | ✓ On-premise capable |
| Clickable Bounding Box Citations | ✓ Verifiable Page & Spatial Coordinates | ✗ Unverifiable text hallucinations | ⚠ Raw line matches only |
| Hybrid Retrieval Engine | ✓ Reciprocal Rank Fusion (BM25 + BGE) | ⚠ Vector-only semantic blindness | BM25 keyword only |
| Native Local OCR for Scans | ✓ Embedded Tesseract OCR v5 | ⚠ High per-page vision API costs | ✗ Fails on scanned documents |
| Usage Billing & Token Subscriptions | ✓ $0.00 / Free Open Weights | ✗ Unpredictable monthly token invoices | License fee or server costs |
Run DocuMind in your local environment or deploy full enterprise clusters with zero proprietary API ties.
Zero-Docker embedded SQLite & Celery in-process workers. Instant startup for individual research and testing.
Full Docker Compose stack with PostgreSQL, pgvector extension, Redis queue, and multi-user RBAC.
Dedicated multi-GPU nodes, air-gapped security compliance, custom fine-tuning, and enterprise SSO integration.
Clear answers about models, hardware specifications, and local architecture.
Deploy DocuMind today with zero third-party API dependencies. Keep 100% of your confidential corporate contracts, finances, and records on your own infrastructure.