Extracta LABS takes an approach that skips the usual setup cost of document automation. Instead of training a model on labeled samples, you describe the fields you need — from the web interface or through the API — then upload documents and let the extractor return structured results. The pitch is that you can start processing immediately, whether the source is a clean digital PDF or a photographed page.
Supported inputs span complex PDF layouts and data tables, images and photos, scanned documents, Word files and web pages, and plain text files. Alongside the generic extractor, the platform ships preconfigured document flows for invoices, resumes, contracts, receipts, bank statements, bills of lading, purchase orders, and emails, each tuned to the fields those record types normally contain. Resumes, for example, are aimed at pulling skills and qualifications into HR systems, while invoice extraction targets dates, amounts, and vendor details for accounting.
The three-step workflow is define, upload, extract: specify the fields, add your files, and receive the key information in a structured format. A public API and documentation are available for embedding the same extraction into existing software, and plans are offered for both the web platform and API usage. Security messaging covers encryption in transit, a statement that customer data is not used for training, ISO 27001 certification, and GDPR compliance, with a published privacy policy and cookie terms. The current site labels the product Extracta LABS and lists FastApp Development S.R.L as the operating company.
