Sensible Instruct — Extract data from documents
Sensible Instruct is a document extraction platform that turns unstructured files into data for operations teams
Sensible Instruct is an LLM-powered document extraction platform that converts unstructured PDFs, images, and documents into structured data formats like JSON. It is specifically built for business operations teams and developers who need to automate the manual entry of data from invoices, bank statements, and legal contracts. By utilizing GPT-4 and advanced natural language processing, the platform eliminates the need for rigid templates or complex coding to understand document layouts. The software allows users to define the specific fields they need to extract using simple natural language prompts rather than writing complex regex patterns. Sensible Instruct handles various document complexities including tables, nested lists, and multi-page layouts with high accuracy across multiple languages. Users can verify extractions through a built-in validation interface to ensure data integrity before it enters their production systems. This makes it an essential tool for logistics, finance, and healthcare companies handling high volumes of paperwork. Business owners can find more details on how to integrate these workflows at surfai.app to improve operational efficiency. The platform supports batch processing, allowing teams to upload thousands of files simultaneously for rapid data conversion. Integration is straightforward via API or through popular automation hubs, ensuring that the structured data flows directly into existing databases or ERP systems. Sensible Instruct offers a freemium model that includes a generous number of monthly document credits. Paid plans scale based on document volume and additional enterprise features such as custom LLM configurations and dedicated support.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Zapier, Salesforce Airflow, Amazon S3, Google Drive, Microsoft Excel, HubSpot |
| Best for | operations-managers, data-analysts, finance-teams, developers |
| Website status checked | 2026-10-19T12:00:49.257+00:00 |
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