Turn Unstructured Documents Into Searchable Data
Business documents often arrive as scanned PDFs, photos, handwritten forms, invoices, contracts, or regulatory filings. Before they can be searched, automated, or analysed, the information inside them needs to be extracted and organised.
TeamSync's Metadata + OCR capability converts unstructured documents into structured records by extracting text, identifying document types, and capturing key fields. The extracted information is then stored alongside the original document in the Intelligent Repository.
Talk to an IDP solutions engineer · Need More Info?
What's Included in OCR + ICR
The Metadata + OCR capability combines document recognition, classification, and intelligent data extraction in one workflow.
Component | What it does |
OCR (Optical Character Recognition) | Extracts printed text from scans, PDFs, and images in more than 100 languages. |
ICR (Intelligent Character Recognition) | Recognises handwritten text, checkboxes, and signatures. |
Document classification | Automatically identifies document types such as invoices, contracts, claims, forms, and reports. |
Field extraction | Captures important information based on document type, including dates, amounts, customer details, and other key fields. |
Confidence scoring | Flags low-confidence results for review before they're used. |
Human review | Let users verify and correct extracted data, with optional model improvement over time. |
Audit trail | Records every extraction, including the document, model version, extracted data, and manual updates. |
Together, these capabilities turn unstructured documents into reliable, searchable business records.
Handling Complex Documents
Not every document is clean or consistently formatted. The Metadata + OCR capability is designed to process a wide range of enterprise content while supporting specialist workflows when needed.
Scenario | How TeamSync handles it |
Printed documents | Extracts text with high accuracy from standard scans and PDFs. |
Handwritten forms | Recognises handwritten text, checkboxes, and signatures using ICR. |
Low-quality scans | Flag uncertain fields for human review before they enter workflows. |
Multi-page files | Detects and separates different document types within the same PDF. |
Specialist document processing | Can work alongside dedicated IDP tools like ABBYY or Hyperscience for advanced use cases. |
This gives organisations a consistent extraction process while supporting more complex document types when required.
What Changes For Document Processing Teams
Structured metadata reduces manual work and makes documents easier to search, automate, and govern.
Activity | Before | With TeamSync |
Data entry | Manual extraction from documents | Automated field extraction |
Document classification | Manual tagging | Automatic document classification |
Searchability | Full-text search only | Structured metadata and full-text search |
Workflow automation | Requires manual input | Metadata automatically triggers workflows |
Document review | Entire document reviewed | Only low-confidence fields require review |
How TeamSync Compares
Metadata extraction is often delivered as a standalone product that needs to be integrated into a broader document platform. TeamSync includes it as a native capability, so extracted data immediately becomes available for governance, search, automation, and AI.
Capability | TeamSync | ABBYY Vantage | Hyperscience | Rossum | Tungsten Automation |
|---|---|---|---|---|---|
Native to the document platform (no integration) | ✅ | Standalone | Standalone | Standalone | Standalone |
Multilingual OCR (100+ languages) | ✅ | ✅ Strong | Limited | Strong (EU focus) | ✅ |
ICR (handwriting) | ✅ | ✅ | ✅ Strong | Limited | ✅ |
Per-field confidence with human-in-the-loop | ✅ | ✅ | ✅ | ✅ | ✅ |
Audit ledger Merkle anchor per extraction | ✅ | Standard log | Standard log | Standard log | Standard log |
Per-cluster pricing (no per-page metering) | ✅ | Per-page | Per-page | Per-document | Per-page |
Read the IDP alternative comparisons →
Related Capabilities
Intelligent Repository — extracted metadata lands here
DocuTalk — AI grounds in extracted metadata
Related Compliance Overlays
HIPAA — PHI extraction with tenant isolation
FDA 21 CFR Part 11 — clinical-form extraction with audit