From Upload to Intelligence in Minutes

DocuLens handles the entire document intelligence lifecycle -- from raw file upload to evidence-backed, auditable outputs.

Upload Documents

Drag and drop PDFs, DOCX, HTML, CSV, or plain text files. Upload individually or in bulk (up to 50 at once). DocuLens deduplicates automatically by content hash.

PDF, DOCX, HTML, CSV, TXT supported

Bulk upload with batch processing

Automatic deduplication by SHA-256 hash

Document versioning for updated files

Automated Processing

A 9-stage pipeline extracts text, detects sections, splits sentences, identifies entities and metrics, creates searchable chunks, and generates vector embeddings.

OCR fallback for scanned documents

Section and heading detection

Sentence-level verbatim storage

Entity extraction (dates, amounts, percentages)

Intelligence Layer

Claims are automatically extracted as fact triples with temporal validity. The system checks new claims against existing ones and flags contradictions.

Temporal fact tracking (valid_from / valid_to)

Cross-document contradiction detection

Confidence scoring on every extraction

Automatic review routing for low-confidence items

Search & Ask

Hybrid search combines keyword matching, semantic vectors, and metadata filters. Ask natural language questions and get evidence-backed answers with citations.

Lexical + semantic + metadata hybrid search

Evidence-grounded answers with page citations

Verification pass catches unsupported claims

Insufficient evidence detection

Analyze & Extract

Define extraction templates, run compliance rule packs, compare documents side-by-side, and build benchmark groups across your document corpus.

Template-based structured extraction

Declarative rules with 8 condition types

Side-by-side document comparison

Peer group benchmarking

Review & Export

Low-confidence outputs route to human review queues. Approved results export to CSV, XLSX, JSON, HTML, or DOCX -- all with evidence links preserved.