Turn documents into structured data
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.
What you can ask Extract the vendor, invoice number, line items, and total from these invoices into a table. Copy
Example path get_extract_batch Extend cli skill
Split this combined PDF into individual documents and identify each document type. Fill out this PDF form using the details in the attached document. MCP connector Server URL https://mcp.extend.ai/mcpCopy Login OAuth Tools Reads data39 get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ list_ search_
Changes data26 add_ classify_ create_ create_ create_ create_ create_ create_ create_ deploy_ detect_ edit_ extract_ parse_ publish_ publish_ publish_ run_ run_ run_ run_ run_ run_ run_ split_ upload_
Deletes or can't be undone21 cancel_ cancel_ cancel_ cancel_ delete_ delete_ delete_ delete_ delete_ delete_ delete_ delete_ delete_ delete_ update_ update_ update_ update_ update_ update_ update_
Skills 2 in the Claude listing
Extend api Use when writing code against the Extend document processing API or SDKs - building extraction, classification, splitting, parsing, PDF form-filling, or workflow integrations, authoring extraction sch Extend cli Use when extracting structured data from PDFs or images, parsing documents to text or markdown, classifying or identifying the type of a document (e.g. 
Browser Use#262
Inkbox#317
OpenAI Developers#418
Speko#371