TableFlow

Extract Clean Data from Messy Spreadsheets

Contact for Pricing

Description

TableFlow is an AI-powered document processing platform designed to streamline and automate workflows by extracting clean, structured data from various document types. It efficiently handles messy spreadsheets, PDFs, and images, transforming them into usable information. The platform leverages connections with multiple leading AI providers, such as OpenAI, Anthropic, Amazon Bedrock, Mistral, and Gemini, to select the optimal model for each specific file and task, ensuring high accuracy and efficiency.

With TableFlow, businesses can significantly reduce manual data handling, leading to time and cost savings, improved data accuracy, and enhanced scalability. The system ingests documents through multiple methods, processes them using AI and customizable templates, validates the extracted data with built-in checks and human review capabilities, and finally connects the clean data to other business systems via API, direct integrations, or file exports. This comprehensive approach helps organizations focus on strategic work rather than manual data entry and reconciliation.

Key Features

AI-Powered Data Extraction: Utilizes AI to accurately extract information from various document types including messy spreadsheets, PDFs, and images.
Intelligent Data Parsing: Transforms extracted raw data into clean, structured, and validated formats.
Workflow Automation: Automates end-to-end document processing workflows, reducing manual effort.
Multi-Format Document Support: Processes a range of document types such as spreadsheets, PDFs, images, and more.
Optimized AI Model Selection: Connects with multiple AI providers (OpenAI, Anthropic, Amazon Bedrock, Mistral, Gemini) to choose the best model for each specific file and task.
Built-in Data Validation: Includes automated checks and an intuitive review interface for human oversight to ensure data accuracy.
Seamless System Integration: Offers API access, connections to ERP/CRM platforms, and options to export data as structured CSV/JSON files.
Robust Scalability: Designed to handle massive data volumes efficiently, supporting business growth.

Use Cases

Automating data extraction from large volumes of complex documents (spreadsheets, PDFs, images).
Streamlining manual data entry and cleaning processes for operational teams.
Reconciling financial documents like purchase orders with packing lists.
Improving efficiency in customer or vendor onboarding processes.
Scaling data processing capabilities without proportionally increasing team size.