
Textkernel Extract
Recruiting automation software
Recruiting software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$99 per month
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What is Textkernel Extract
Textkernel Extract is a resume and job parsing product used to convert unstructured recruiting documents into structured data for downstream recruiting workflows. It is typically used by ATS/CRM vendors, staffing firms, and enterprise recruiting teams to ingest resumes, CVs, and job descriptions and normalize fields such as skills, titles, employers, education, and contact details. The product is commonly delivered via API and is designed to support multilingual and multi-format document inputs. It is often implemented as an embedded component within broader recruiting platforms rather than as a standalone recruiter workspace.
API-first parsing component
The product is designed to be integrated into other recruiting systems via APIs, which fits common ATS/CRM and staffing platform architectures. This makes it suitable for automating intake from inbound resumes and job descriptions without requiring recruiters to change tools. It supports structured output that can be mapped into existing candidate and requisition data models.
Handles varied document inputs
Textkernel Extract focuses on processing unstructured documents such as resumes/CVs and job descriptions into normalized fields. This helps reduce manual data entry and improves consistency when data originates from email attachments, uploads, or legacy files. It is relevant for organizations that process high volumes of candidate documents across different templates and formats.
Supports multilingual recruiting use
The product is positioned for use in multi-country recruiting operations where documents arrive in different languages. This can reduce the need to maintain separate parsing tools by region and supports centralized recruiting operations. It is useful for global staffing and enterprise TA teams that need consistent extraction across geographies.
Not a full recruiting suite
Textkernel Extract is a parsing capability rather than an end-to-end recruiting application. Organizations still need an ATS/CRM and workflow tooling for sourcing, outreach, scheduling, and pipeline management. Buyers looking for a recruiter-facing platform may find it requires additional products to deliver complete recruiting functionality.
Implementation requires data mapping
Deployments typically require field mapping, taxonomy alignment (e.g., skills and titles), and validation against the organization’s data model. Output quality depends on how well the integration handles edge cases such as duplicate profiles, missing fields, and conflicting data. Teams without integration resources may face longer time-to-value than with all-in-one recruiting tools.
Extraction accuracy varies by input
As with document parsing generally, results can vary based on document quality, formatting, and the presence of non-standard layouts. Organizations often need monitoring and exception handling for low-confidence parses and for documents with tables, graphics, or unusual section headings. This can introduce operational overhead if the product is used at very high volume without quality controls.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free Trial | $0 — 500 free credits (instant access) | Try Parser / Skills Intelligence APIs via demo UI or API; 500 free credits for testing. |
| Accelerator | $200 one-time | Introductory offer: 5,000 credits with same features as Professional to kickstart usage. |
| Professional | Starting at $99 per month | Monthly credit plans from 500–25,000 credits; annual plans up to 100,000 credits; includes Skills API, Parser capabilities, usage reporting, 99.9% uptime; purchase credits to integrate APIs. |
| Enterprise | Custom pricing | Contact sales for custom plans with higher volumes, higher API rate limits, professional services, SLAs, and taxonomy downloads. |
Seller details
Textkernel B.V.
Amsterdam, Netherlands
2001
Private
https://www.textkernel.com/
https://x.com/textkernel
https://www.linkedin.com/company/textkernel