Turn scattered documents into an AI-first, searchable system
Think Docs is an AI-powered document intelligence platform for smart data extraction, analysis, and insights. It ingests documents from every source, runs OCR and NLP to extract key information, classifies each file automatically, and makes everything instantly searchable and access controlled — cutting manual document work by over 70%.
ThinkDocs — AI-Driven Document Management System
Intelligent storage, search, and processing at scale
ThinkDocs is an AI-powered DMS that ingests documents from every source, runs OCR and NLP pipelines to extract key data, classifies each file automatically, and indexes everything in Elasticsearch and PostgreSQL. It replaces manual tagging and slow, scattered storage with semantic search, secure access control, and automation that cuts document handling time by more than 70%.
Ingest & upload
Users and systems upload documents via UI or API; ThinkDocs ingests them and prepares them for AI processing.
OCR & text extraction
Python-based OCR pipelines convert scanned and native documents into machine-readable text at scale.
AI classification & metadata
ML models classify documents (Invoice, Contract, KYC, etc.) and extract key fields like names, dates, amounts, and IDs.
Indexing & secure storage
Metadata and content are indexed in Elasticsearch while encrypted files are stored in S3 with strict, role-based access control.
Running in production · 1M+ documents managed
How it works
From raw uploads to AI-structured, searchable documents.
Documents are uploaded, processed through OCR and NLP services, classified by AI, and then indexed into Elasticsearch with rich metadata. Under the hood, queues, workers, and containerized services on AWS handle scale and resilience so teams always get fast, reliable search and retrieval.
Upload & ingest
Documents are uploaded through UI or API gateways and queued for background processing, ready for large-scale ingestion.
OCR + NLP pipelines
Distributed OCR and NLP services extract raw text, normalize formats, and prepare content for downstream AI models.
AI classification & extraction
AI models detect document type with 95%+ accuracy and auto-extract key fields needed for finance, legal, and KYC workflows.
Semantic search & access
Elasticsearch powers millisecond semantic search while secure APIs and RBAC ensure only the right teams can access each file.
ThinkDocs Engine
AI document processing core
How ThinkDocs Works
ThinkDocs sits between your sources of documents and your teams, acting as an AI engine for ingestion, OCR, NLP, classification, indexing, and secure delivery. The result is a single, compliant system of record where millions of documents become searchable, actionable, and ready for downstream workflows instead of stuck in folders and email threads.
Key capabilities
AI-first document management, end to end
From ingestion and OCR to AI classification, semantic search, and secure access control, ThinkDocs turns manual document operations into an automated, intelligent system that scales with your business.
Smart document storage
Folderless, tag-based organization with auto-generated metadata and full version history so teams never lose track of a file.
AI classification
ML models detect document types such as invoices, contracts, and KYC records with 95%+ accuracy, removing manual tagging.
Semantic search
Full-text and contextual search over content and metadata with filters for dates, types, owners, and tags—results in milliseconds.
OCR & data extraction
Robust OCR for scanned documents plus NLP to extract names, dates, invoice numbers, amounts, IDs, and other key fields automatically.
Security & compliance
Role-based access control, encryption in transit and at rest, detailed audit logs, and GDPR-aligned data handling for regulated teams.
Performance & scalability
Async job queues, horizontal scaling, and containerized services that reliably handle millions of documents in production.
What Our Customers Say
Trusted by IT professionals and security teams at companies of all sizes.
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James Sullivan
CTO at TechCorp
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Michael Chen
CEO at InnovateCo
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