Extend
Turn documents into structured data
- Category
- AI
- Primary Subcategory
- Document & Message Field Extraction
View in the Claude registryIntegration details
Description
Parse, extract, classify, and split documents from chat: pull fields, tables, and line items out of PDFs, images, Office files, and spreadsheets, identify document types, break bundles into separate documents, and fill PDF forms. Build and test reusable extractors, classifiers, and workflows on real documents, then run them at scale in your Extend workspace.
- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Document & Message Field Extraction
- Secondary Subcategories
- None listed
- Brand
- Extend
- Access
- Account required
- First tracked
- 2026-09-03
- Tool count
- 86
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Claude Discoverability Score
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What discovery looks like
Claude can surface verified Connectors when they match a user’s Prompt.
Competing in Claude Document & Message Field Extraction
View Category86 tools agents can invoke
How do I improve a Verified connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Extend alternatives on Claude?
As of 2026-09-28, Extend competes with Aginera, Inbin, Kamai AI, PhotonCommerce, Pulse MCP, Unstructured Transform in Claude Document & Message Field Extraction, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.