Extracta Resume Parser API

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On the record

Accuracy

Extracta states up to 99% accuracy for digital resumes and around 95% for resumes with handwritten elements.extracta.ai · read 1 Oct 2026

API endpoint

The documentation instructs developers to create extraction templates with a POST request to /createExtraction.docs.extracta.ai · read 15 Oct 2026

API host

The JavaScript example calls https://api.extracta.ai/api/v1/createExtraction.docs.extracta.ai · read 15 Oct 2026

API integration

The Resume Data Extraction API is designed to integrate with existing software, systems and databases.extracta.ai · read 1 Oct 2026

API workflow

The API documentation provides REST endpoints for creating, viewing, updating and deleting extractions, uploading files, retrieving batch results and checking credits.docs.extracta.ai · read 1 Oct 2026

Authentication

API requests use a bearer token generated from the account dashboard's API section.docs.extracta.ai · read 15 Oct 2026

Batch processing

Tutorials document batch uploads and receiving results by polling or webhook callbacks.docs.extracta.ai · read 15 Oct 2026

Code examples

Documentation includes JavaScript using axios and Python using requests, rather than a named vendor SDK.docs.extracta.ai · read 15 Oct 2026

Company database discrepancy

Crunchbase describes Extracta.ai as founded in 2022, headquartered in Bucharest, privately held and employing 1–10 people.crunchbase.com · read 15 Oct 2026

Company founded

LinkedIn lists Extracta LABS as founded in 2023.linkedin.com · read 15 Oct 2026

Company headquarters

LinkedIn lists Extracta LABS headquarters in Bucharest, Romania.linkedin.com · read 15 Oct 2026

Company legal owner

The website and terms identify FASTAPP DEVELOPMENT SRL as the owner and list VAT number RO49822500.extracta.ai · read 15 Oct 2026

Company size

LinkedIn lists the company size as 2–10 employees and shows two employees on the page.linkedin.com · read 15 Oct 2026

Custom fields

Users can define the exact resume fields they require through custom CV templates.extracta.ai · read 1 Oct 2026

Custom schemas

Users define the exact fields and nested properties they want returned in a custom extraction template.docs.extracta.ai · read 15 Oct 2026

Data retention

Uploaded document data is retained only as needed for processing and is deleted after processing or on request.extracta.ai · read 15 Oct 2026

Document classification

The platform lets users define document types and automatically route classified files to linked extraction templates.extracta.ai · read 15 Oct 2026

Document processing

The platform supports batch uploads and can process resumes, invoices, contracts, receipts, purchase orders, business cards, bills of lading and custom documents.extracta.ai · read 1 Oct 2026

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