Dataku
Advanced data extraction and transformation powered by LLMs. [Free]
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What is Dataku?
Dataku is an AI-powered data extraction service that transforms unstructured texts and documents into structured tables and data. The tool supports multiple input formats including text passages, documents (DOC, DOCX, TXT, PDF), and CSV tables, making it versatile for various data processing needs. It features custom extraction schemas where users define what data to extract, plus an AI Schema Detection feature that automatically suggests extraction criteria based on input content.
Key features include Multiple Input Types support allowing seamless switching between text, file, and table inputs; Custom Extraction Schema for tailoring data extraction to specific needs; AI Schema Detection for automatic schema generation; API endpoints for developers to integrate data extraction into applications; and CSV download/copy functionality for extracted results. The service offers both a user-friendly web interface for non-technical users and REST API endpoints (/api/transform/text/ and /api/transform/doc/) for programmatic access.
Dataku is ideal for professionals and organizations conducting research, managing data-intensive projects, developers building AI agents and integrations, businesses needing to automate data extraction from documents, and anyone who needs to extract valuable structured information quickly and accurately from unstructured content. The tool caters to both technical users who can leverage the API and non-technical users who prefer the intuitive web interface.
Dataku pricing
Pricing model: Freemium
Dataku does not advertise a free tier on its public pricing page. The lowest paid plan (Entry paid) starts at $500 per month and includes self-serve checkout via card, usage included up to plan cap, public API access for integrations and AI agents, and requires account creation for API key issuance. Enterprise plans are available with custom pricing negotiated through the Dataku sales team, featuring dedicated account manager, SLA commitments, volume discounts on per-unit costs, and procurement-friendly options including invoicing, NDAs, and security questionnaires. A free trial may be available on request via the sales team.
Dataku pros
- Supports multiple input formats (text, DOC, DOCX, TXT, PDF, CSV)
- AI Schema Detection automatically suggests extraction schemas
- Custom extraction schema allows tailored data extraction
- User-friendly interface suitable for non-technical users
- REST API available for developer integrations
- Batch job support for text transformation endpoint
- Extracted data downloadable in CSV format
- Copy functionality for quick data access
- Responsive UI adaptable to various screen sizes
- File validation ensures proper upload formats
- Both text and document transformation endpoints available
- Schema descriptions help specify output value formats
- Drag-and-drop file upload for convenience
- Suitable for both small projects and large-scale data processing
- Bootstrapped company with no outside funding pressure
Dataku cons
- No advertised free tier on public pricing page
- Lowest paid plan starts at $500 per month
- API key requires contact with sales representative
- No self-serve checkout available
- File size limit of 20MB for uploads
- Enterprise pricing requires sales contact form
- Extraction errors occur with overly large input content
- Schema too complicated can cause extraction failures
Frequently asked questions about Dataku
What is Dataku?
Dataku is a cutting-edge data extraction service designed to streamline obtaining structured information from various content types. It transforms unstructured texts and documents into structured tables using AI, supporting multiple input formats including text passages, documents (DOC, DOCX, TXT, PDF), and CSV tables.
What input formats does Dataku support?
Dataku supports multiple input types: text input (paste text in textarea), file upload for documents (DOC, DOCX, TXT, PDF formats), and CSV table upload (single-column CSV file). The extraction page facilitates easy upload and parsing of all these formats.
How does AI Schema Detection work?
AI Schema Detection is an AI-Define feature that automatically suggests an extraction schema based on your input content. This reduces manual effort by using artificial intelligence to generate the schema structure, increasing efficiency especially for large or complex datasets.
How do I extract data from documents?
To extract data: 1) Select input type (text, file, or table), 2) Upload your document by drag-and-drop or browsing, 3) Define extraction criteria by adding schema fields with names and optional descriptions, 4) Optionally use AI-Define for automatic schema suggestion, 5) Click 'Extract' to initiate the process, 6) View results in table format and download/copy as CSV.
What is the API endpoint for text transformation?
The text transformation endpoint is /api/transform/text/ using POST method. It accepts a JSON body with 'schema' (array defining output structure with name and optional description) and 'texts' (array of text strings). Requires headers Content-Type: application/json and X-API-Key for authentication. Batch jobs are supported.
How do I get an API key?
API keys must be obtained from a sales representative. The API documentation states that prerequisites include obtaining your API key from the sales representative, and account creation is required for API key issuance on the $500/month entry paid plan.
What file size limits apply to uploads?
File uploads have a size limit of 20MB. File upload errors occur if the file size exceeds 20MB or if the file format is unsupported. The system performs file validation to ensure file type and size compliance before processing.
Can I download extracted data?
Yes, extracted data can be downloaded in CSV format by clicking the download button at the top right corner of the extraction results section. You can also copy the extracted data directly from the table format display.
What troubleshooting steps work for extraction errors?
For extraction errors: ensure schema fields correctly correspond to the data format and content, check that input content is not too large, verify the schema is not too complicated, ensure file formats and sizes are within limits (under 20MB), and verify API key validity for API requests.
Who is Dataku suitable for?
Dataku is ideal for professionals and organizations conducting research, managing data-intensive projects, developers building AI agent integrations, businesses needing to automate data extraction from documents, and both technical users (via API) and non-technical users (via web interface) who need to extract structured information quickly and accurately from unstructured content.