AutoForm is a data entry automation tool driven by AI agents, with the core goal of eliminating manual data entry. It is aimed at messy files and cumbersome workflows, and can instantly convert various types of content such as PDFs, spreadsheets, emails, presentations, and web pages into clean, structured, and directly usable data.
Main Capabilities
- Multi-source data extraction: Supports uploading documents, scanning emails, pulling data from websites and videos, and capturing every field.
- AI cleaning and transformation: Uses natural language to clean, format, and label data; users can interact with it to have the AI organize data as needed.
- AI autofill: Instantly fills extracted data into online forms without copy-pasting.
- Multi-format export: Can export structured data to Excel, CSV, JSON, or other formats.
- Document library and smart storage: Automatically saves processed documents for quick future access, reprocessing, or reuse of extracted data without re-uploading; can also sync with existing databases.
- AI training and custom output: Through a human-in-the-loop approach, teaches AutoForm to structure and transform data according to user-specified specifications, ensuring consistent, reliable, and controllable output.
- Batch processing and API/Webhook access: Process thousands of documents at once, or integrate AutoForm into existing workflows via API to automate at scale.
- Seamless integration and output: Can connect to any system, supports all file types including documents, images, and videos, pulls data from any source, extracts key information, and pushes it where needed, such as automating invoice processing, syncing form submissions, and transforming documents.
How to Use
Users upload any file (PDF, spreadsheet, email, presentation, or web page), AutoForm captures all fields, then cleans and labels the data in natural language, and then automatically fills forms or sends the results to other applications or downloads them. The product emphasizes "no code, no setup." It also provides entry points for operations such as building templates, adding integrations, and obtaining API keys.
Applicable Scenarios
The popular use cases listed on the official website include:
- Customer/App: From documents to apps, simplifying the customer onboarding process.
- Accounting software: Convert invoice data into accounting-ready formats.
- ERP: Extract supplier RFQs and PO updates.
- Legal (Clio): ThroughIntelligent legal document automation, simplifying subpoena and court order processing.
- Education (Ellucian): Simplify application review through automated transcript extraction.
- HR (Greenhouse): Simplify resume parsing and candidate comparison.
- CRM: Convert lead documents directly into CRM data.
- Real Estate: Accelerate real estate transactions through intelligent document processing.
- Claims Management System: Accelerate insurance claims through intelligent document processing.
- ERP: Extract and standardize BOMs in engineering and manufacturing.
Limitations and Information Not Yet Provided
The official website has FAQs about the differences from AI models such as ChatGPT, OCR tools/document parsers, supported file or content types, whether coding or training is required, launch time, how to use the output in workflows, where it runs, and costs, but the materials do not provide the specific answers to these questions. Regarding pricing, it only shows that a 7-day free trial is offered, billed per user per month, with 500 pages per month for personal projects and small teams, and 1,000 pages per month for the team version, and costs can be calculated based on the expected monthly page volume; specific price figures, complete plan details, differences in restrictions and capabilities across different versions, and the official launch time of the product are not yet provided in the materials.
