Name: Datalab.to
Brand: datalab.to
Availability: InStock

What is Datalab.to?

Datalab.to specializes in document intelligence, employing advanced Artificial Intelligence to transform complex documents into structured, usable data. It trains specialized foundation models designed for accuracy and efficiency, enabling organizations to process documents at scale. The platform provides tools to reliably extract information, understand layouts, and convert document formats with high precision.

The platform offers solutions for various document processing tasks, including state-of-the-art table detection, PDF to Markdown conversion, Optical Character Recognition (OCR) for over 90 languages, layout analysis, and reading order determination. Users can leverage Datalab.to's API for cloud-based processing or choose to deploy the models on their own hardware for enhanced security and control, ensuring that sensitive data remains within their environment. This flexibility caters to diverse organizational needs, from startups to large enterprises.

Features

Table Detection: State-of-the-art table detection and extraction.
PDF to Markdown Conversion: Converts PDFs to Markdown quickly and accurately, including tables and equations, via the Marker tool.
Advanced OCR: Optical Character Recognition for 90+ languages, LaTeX, handwriting, chemical formulas, and more.
Layout Analysis: Identifies layout blocks such as titles, images, and equations within documents.
Reading Order Detection: Accurately orders content in documents, even for complex layouts like newspapers.
Bounding Box Detection: Provides character, word, and line bounding box detection.
On-Prem Deployment: Allows running models locally on user hardware, ensuring data privacy and security.
Scalability: Models can be scaled to process millions of documents daily.

Use Cases

Automating data extraction from invoices, receipts, and financial reports.
Converting large volumes of PDF documents into searchable and editable Markdown format.
Digitizing archival documents and historical records with complex layouts.
Processing and analyzing multi-lingual documents for global operations.
Extracting structured information from scientific papers, including tables and equations.
Improving accessibility of documents by understanding their logical reading order.
Powering intelligent document search and retrieval systems.

FAQs

Who needs to pay for the models?

Any organization with over $2M in gross revenue in the trailing 12 month period, or has more than $2M in investor capital raised, needs to pay to use the platform commercially. The models are always free for research and personal use via the Open Source option.
Can the models be customized?

Datalab.to offers finetuning and other consulting services in select cases. Interested parties should contact them to see if there might be a fit.
How do credits work for the Team plan?

For the Team plan, a fixed fee is paid monthly which functions as credits. These credits are used until the balance is zero, after which API usage is pay-as-you-go. Credits do not roll over month to month.
Is the product secure?

The hosted platform stores data on Datalab.to's servers and deletes them after inference; no external models are used. For self-hosted options, the models run locally, and no data leaves the user's machines.
How can I try the API before paying?

Users can test the service using Datalab.to's open source tools, Marker and Surya, which demonstrate the platform's capabilities.