Sensible provides an API-first document processing platform that utilizes LLM parsing and visual layout-based rules to extract structured data from various document types, including PDFs and spreadsheets. This technology enables developers to automate data retrieval and integrate document processing into their applications, enhancing operational efficiency and reducing manual data entry errors.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Extracting structured data from documents like PDFs and spreadsheets is often a manual, time-consuming process prone to errors. Existing solutions may lack the accuracy and flexibility needed to handle diverse document types and complex layouts, hindering automation efforts. This creates bottlenecks in workflows that rely on document-based information.
Solution
Sensible provides an API-first platform that automates document processing and data extraction. By combining LLM parsing with visual layout-based rules, the platform accurately extracts structured data from various document types, including PDFs, emails, spreadsheets, and images. Sensible offers pre-configured parsers and a comprehensive API, enabling developers to integrate document processing capabilities into their applications. The platform also includes features for document classification, multi-document handling, and monitoring data quality.
Target Audience
Sensible is designed for developers and product teams who need to automate document processing and data extraction, particularly those in industries dealing with high volumes of documents.
Features
- API-first design for seamless integration into existing applications and workflows
- Hybrid parsing approach combining LLMs and visual layout analysis for high accuracy
- Pre-configured parsers for common document types to accelerate deployment
- Document classification capabilities to automatically identify and categorize documents
- Comprehensive API and SDKs in Javascript and Python
- Tools for monitoring and maintaining data quality, including confidence signals and validation checks
- Versioning and environments for testing changes before deploying to production
- SOC 2 and HIPAA compliance with encryption in transit and at rest