The short version
Native Airtable
By ClawHub Community
Pull data from your Airtable bases into AI workflows without leaving your chat.
Kreuzberg Document Extractor
By Productivity and Collaboration
Pull text, tables, and data from 90+ file types—PDFs, Office docs, images, and more.
What each one does
Native Airtable
- Reads records from any Airtable base you grant access to
- Filters records by status, date, or custom fields using Airtable formulas
- Searches across tables by keyword or specific field values
- Lists all bases and tables you have access to
- Pulls specific records or views into your AI assistant's context
Kreuzberg Document Extractor
- Extracts text, tables, metadata, and images from 90+ file formats including PDF, Word, Excel, PowerPoint, images, emails, and HTML
- Runs OCR on scanned PDFs and photos so AI can read text from images or receipts
- Processes batches of files at once—upload a folder of contracts and get all the data out
- Outputs clean Markdown or JSON for easy reading and further AI processing
- Handles password-protected PDFs and multi-language documents
When to pick each one
Reach for Native Airtable when…
- You need to analyze or summarize data stored in Airtable
- You're asking AI to draft reports or emails based on your Airtable records
- You want to search your Airtable contacts, tasks, or inventory without opening the app
- You need AI to pull the latest project status or content calendar entries
Reach for Kreuzberg Document Extractor when…
- You need AI to read contracts, invoices, or research papers and pull out key info
- You're processing receipts, scanned documents, or photos with text and need OCR
- You want to bulk-extract data from a folder of mixed file types (PDFs, Word docs, spreadsheets)
- You're building a knowledge base and need to ingest documents automatically
Quick facts
| Native Airtable | Kreuzberg Document Extractor | |
|---|---|---|
| Made by | ClawHub Community | Productivity and Collaboration |
| Category | Productivity | Productivity |
| Source | View ↗ | View ↗ |
| Detail page | Open | Open |