Airparser
Turn invoices, receipts, emails and other documents into structured data: describe the fields you need, upload a file, get clean JSON back.
View in the Claude registry- Brand
- Airparser
- Category
- Data & Analytics
- Primary Subcategory
- Document & Message Field Extraction
Integration details
Description
Airparser extracts structured data from PDFs, scans, photos, emails and other documents using AI. With this connector you can run the whole workflow from a Claude conversation: - Create an inbox for a document type (invoices, receipts, purchase orders, contracts...). - Define the fields and tables you want, or let Airparser propose a schema from a sample document and refine it together with Claude. - Upload a document and get the parsed result back: typed fields (text, number, date, boolean) and line-item tables. - Review past documents and results in an inbox. - Optionally add a post-processing step (a short Python function) to clean or reshape the output, test it on a real parsed document, then enable it. Connect with your Airparser API key (found on the Account page of the Airparser app). Claude only sees the inboxes and documents of the account you connect.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Document & Message Field Extraction
- Secondary Subcategories
- None listed
- Brand
- Airparser
- Access
- Account required
- First tracked
- 2026-10-25
- Tool count
- 17
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Agent DiscoverabilityClaude Discoverability ScoreClaude Connector discovery is coming soon
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What discovery looks like
Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competing in Claude Document & Message Field Extraction
View Category17 tools agents can invoke
Airparser Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Airparser's Claude Connector 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 Airparser alternatives on Claude?
As of 2026-10-28, Airparser competes with PaperOffice, Dext, Intuit QuickBooks, NumbersGame MCP, Aginera, Big Documents Agent, EAN-Search, Extend and 10 more 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.