Datalab.to

    Datalab.to

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    Category:Research & Data Analysis
    Pricing:Freemium
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    Convert PDFs and complex documents to Markdown, JSON, or HTML with high precision. Extract data, segment files, and process tables, formulas, and diagrams.

    What is Datalab.to?

    Datalab.to is a platform specializing in high-precision document intelligence, designed to convert complex files into structured data ready for use in artificial intelligence environments. Unlike conventional OCR systems, this tool focuses on technical accuracy and is used by research labs and companies to process documents where the margin of error must be minimal. Its primary function is to transform PDF files, slides, and spreadsheets into machine-readable formats such as Markdown, HTML, and JSON.

    The technology behind Datalab relies on cutting-edge models like Chandra, its flagship engine capable of successfully interpreting difficult cases such as mathematical formulas, diagrams, and complex tables. The tool's ecosystem also includes renowned open-source models like Marker and Surya, which specialize in multilingual document processing in more than 43 languages. This technical approach delivers results with superior fidelity in detecting visual elements and text structures, outperforming other commercial models in accuracy for scientific and technical tasks.

    The platform's workflow is organized through specific processors that can be combined into a single pipeline:

    • Convert: Converts documents into structured text, including word-level bounding boxes for exact localization.
    • Extract: Facilitates the retrieval of key information using user-defined extraction schemas.
    • Segment: Detects natural divisions in files containing multiple embedded documents, allowing for logical separation.
    • Eval: Analyzes the quality of the final output using evaluation rubrics to ensure data consistency.

    Datalab.to is particularly useful for developers and companies working on RAG indexing (Retrieval-Augmented Generation), creating training datasets for language models, and regulatory compliance workflows. Its ability to process up to 100 million pages per day allows for scaling large-scale operations in sectors such as finance, healthcare, insurance, and scientific research.

    Regarding implementation, the tool offers versatility tailored to corporate security needs. It can be used via a managed cloud API, deployed in a private VPC, or installed in on-premise, air-gapped environments. This ensures that sensitive data remains under full control, complying with standards such as SOC 2 Type II. Thanks to its focus on accuracy and scalability, it has become a critical component of the data infrastructure for organizations managing highly complex technical documentation.

    Datalab.to features and use cases

    •Conversion of PDFs and spreadsheets into structured formats like Markdown, HTML, and JSON.
    •High-precision data extraction including word-level bounding boxes.
    •Processing complex technical documents using the flagship Chandra model.
    •Massive scalability to process up to 100 million pages per day.
    •Deployment options for managed cloud, virtual private cloud, or air-gapped environments.
    •Creation of AI training corpora from scientific documents.
    •Automated natural boundary segmentation for multi-document files.
    •Specialized detection of tables, mathematical equations, charts, and diagrams.
    •Continuous output quality evaluation using custom rubrics and benchmarks.
    •Document indexing for Retrieval-Augmented Generation (RAG) and agent workflows.

    How to use Datalab.to

    1Access the official Datalab website to register or log in to your user account.
    2Head over to the Playground to perform interactive tests with your documents and explore the tool's capabilities.
    3Use the conversion processor to transform PDF files, spreadsheets, or slides into structured formats like Markdown, HTML, or JSON.
    4Configure the extraction processor to locate key information using predefined data schemas.
    5Use the segmentation processor if you need to identify and separate documents that have been combined into a single file.
    6Apply the evaluation processor to measure the quality of the results based on your own criteria or system standards.
    7Connect the different processors in the composition section to create a custom workflow or pipeline.
    8Promote the pipeline version configured in the Playground directly to your production environment.
    9Obtain an API key to integrate document intelligence features into your applications using the SDK.
    10Choose your preferred deployment mode among Datalab’s managed cloud, your own virtual private cloud, or an air-gapped on-premises installation.
    11Monitor accuracy improvements and detect potential failures using the included continuous monitoring tools.
    12Consult the official documentation on the website for specific technical details regarding the integration of open-source models.

    Datalab.to FAQ

    What is Datalab.to and what exactly is it used for?

    Datalab is a research lab that develops high-precision document intelligence models to reliably convert complex documents into structured data.

    What formats does Datalab support for exporting extracted information?

    The tool allows you to convert PDFs, spreadsheets, and slides into structured formats like Markdown, JSON, and HTML, including word-level bounding boxes.

    What processing capabilities does the Chandra model offer within Datalab?

    Chandra is the flagship model, capable of processing the most challenging cases and messy documents with industry-leading accuracy for OCR and analysis tasks.

    Can I deploy Datalab on my own network infrastructure?

    Yes, you can run the models on the platform's managed cloud, your own Virtual Private Cloud (VPC), or via air-gapped deployments without an internet connection.

    Does Datalab support non-English documents?

    The platform features advanced multilingual capabilities that deliver exceptional performance across the 43 most widely used languages globally.

    What pricing options does Datalab offer for new users?

    There is a free plan that includes a monthly API allowance, as well as paid plans that scale based on the volume of pages processed and specific support needs.

    Can Datalab handle large volumes of documents simultaneously?

    The infrastructure is designed to process massive batches of up to 100 million pages per day without requiring the user to manage any additional servers.

    What types of processors can be used in a Datalab workflow?

    The tool allows you to combine processors to convert files, extract information based on defined schemas, segment merged documents, and evaluate the quality of the final output.

    Are there any special benefits for startups using Datalab?

    Datalab offers a startup program that provides a 33% discount during the first year for companies that meet specific age and funding requirements.

    Does the Datalab platform comply with security and regulatory standards?

    The platform is SOC 2 Type II certified and offers Data Processing Agreements (DPAs) to ensure security in regulated sectors such as finance and healthcare.

    Datalab.to pricing and plans

    Free

    Price: $0 per month.

    • Includes a $20 monthly credit with a professional email or $10 with a personal email (pay-as-you-go after the credit is exhausted).
    • Full access to the hosted API and SDK.
    • Limit of 25 requests per minute and 25 concurrent requests.
    • 1 custom processor creation per month.
    • Billing every $15 of usage or monthly.
    • Community support and SOC 2 Type II compliance.
    • EU data residency incurs a 1.25x usage surcharge.

    Team

    Price: $400 per month.

    • Includes $400 in monthly usage.
    • Limit of 400 requests per minute and 400 concurrent requests.
    • 4 custom processor creations per month (additional processors at $5 each).
    • Billing every $1,000 of usage or monthly.
    • Priority email and Slack support.
    • Includes BAA / DPA and MFA compliance for admins.
    • EU data residency incurs a 1.25x usage surcharge.

    Enterprise

    Price: Custom (contact us via the official website).

    • Tailored processing solutions via API or on-premise infrastructure.
    • Custom rate limits, concurrency, and processor creation based on your needs.
    • Volume discounts.
    • Deployment options: managed cloud, customer VPC, or air-gapped environments.
    • Dedicated support with Service Level Agreements (SLAs) and MSA contract.
    • Includes Single Sign-On (SSO).

    Additional Pricing Information

    • Startup Program: 33% discount for the first year for companies less than 3 years old, with less than $15M in funding and less than $5M in ARR.
    • Migration Credits: Up to $5,000 in credits to facilitate switching from another provider.

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