Best Resume Extraction Tools 2026 for Recruiters and Job Seekers

May 31, 2026 · Updated October 10, 2026 · 15 min read

"Resume extraction" means two different jobs, and most lists mix them up. A recruiter or staffing agency wants hundreds of CVs turned into clean, searchable records, sometimes with names and photos stripped out for blind screening. A job seeker wants their own CV turned into something useful, such as a website, without retyping it. The tools that do one job well rarely do the other.

This guide covers both lanes. The recruiter lane compares four parsing APIs on output, languages, redaction, deployment and price, from vendor documentation checked on 10 October 2026. The job-seeker lane covers six tools we tested in May 2026 by uploading the same CV to each, with facts and prices re-checked in October.

Quick verdict

Prices in USD unless marked, as shown on each vendor's pricing page on 10 October 2026. Vendor prices change and vary by region; check before you buy.

For recruiters and staffing agencies: resume parsing APIs

A parsing API takes a CV file and returns structured fields (contact details, roles, dates, skills, education) that you load into an applicant tracking system or a database. None of these four builds anything for the candidate. Affinda was part of our May 2026 test. Textkernel, RChilli and Daxtra were not; the details below come from their own product and pricing pages, checked on 10 October 2026.

1. Affinda — Resume Parser plus Resume Redactor

Affinda sells a resume parser and a separate Resume Redactor, built for anonymising CVs before screening. The redactor can remove name, email, phone, website and social links, photos, locations, age, dates, gender, schools and universities, previous employers, hobbies and referee details. It works in bulk and through an API, and Affinda also offers a free online redactor for single files.

Test result (May 2026): field accuracy was the highest of any tool we tested. Every section, date and metric in our test CV was tagged correctly, and the output included confidence scores, with alternative readings for ambiguous fields (for example, whether "Senior Engineer / Tech Lead" was one role or two).

• Price: self-serve US$0.10 per document with no annual commitment; the first 14 days include 1,000 free documents. Annual hosted plans start at US$3,600 for 66,000 documents.
• Deployment: hosted, or self-hosted on annual plans, with a free self-hosted evaluation.
• Best for: teams that want to start this week, and anyone who needs redaction for blind hiring.

2. Textkernel — the parser that absorbed Sovren

Textkernel acquired Sovren, a US parsing company, at the end of 2021, so older lists that name "Sovren" separately now point to the same product. Textkernel parses resumes in 29 languages and lists 100+ ATS and HR software integrations. Its plans include a Resume HTML Anonymization add-on.

• Price: free trial with 500 credits; Professional from $99/month (monthly plans from 500 to 25,000 credits, annual plans up to 100,000); Enterprise on request.
• Best for: multilingual hiring and teams whose ATS already has a Textkernel connector.

3. RChilli — credit-based parsing for ATS add-ons

RChilli sells resume parsing on credits, and its site lists connectors for HR platforms such as Oracle HCM and SAP SuccessFactors. A separate product, Redact & Design, covers redaction; its pricing is not on the parser pricing page.

• Price: free trial with 100 credits; Standard plan from $75/month for 500 credits (quarterly and annual credit packs available); Enterprise on request.
• Best for: small and mid-size teams that want a predictable monthly credit pack.

4. Daxtra — multilingual parsing, on-premise if you need it

Daxtra Parser reads CVs and job posts in 40+ languages, extracts 150+ data fields, and returns XML or JSON through REST or SOAP APIs. It can run as a hosted service or on-premise, which matters to agencies whose clients do not allow candidate data to leave their own systems.

• Price: not published; quote only.
• Best for: large agencies with many languages or strict data-residency requirements.

How to choose a parser for high volume

If you process a few hundred applications a month, the price differences are small. At 500 CVs a month, Affinda self-serve costs about US$50, and both RChilli's and Textkernel's entry plans include 500 credits (check how many credits one CV uses). The bigger differences are in fit. Before you sign, check these six things on a batch of your own real CVs:

1. Layout accuracy. Include two-column, designed and scanned CVs. Section mix-ups (projects filed as jobs, skills filed as experience) are the most common failure.
2. Skills and certifications. Does the parser map skills to a taxonomy and pick out certifications, or only return raw text?
3. Redaction. If you run blind screening or share CVs with clients, check which fields can be removed and whether redaction runs in bulk.
4. Languages. Test every language you actually receive, not just the count on the pricing page.
5. Where data is processed. Hosted, self-hosted or on-premise; this decides most data-protection questions.
6. Connectors. A ready-made connector to your ATS saves more time than a small difference in accuracy.

For job seekers: tools that read your existing CV

If you are the candidate, you do not need structured data. You need your CV turned into something you can send, edit or publish. These six tools are the ones most often recommended for that. We tested all of them in May 2026 by uploading the same CV to each.

5. Seera — full CV to live portfolio in ~30 seconds

Seera is built for the resume-to-portfolio job. Upload a PDF, DOCX or plain-text resume and a language-model extractor fills structured fields: name, title, summary, experience, projects, skills (grouped into categories), education and contact details. The result is a complete portfolio website in your choice of 23 templates, which you can edit inline before publishing.

Test result (May 2026): all 6 sections extracted correctly on the first try. The 4 projects kept their tech stacks. Skills were grouped into Languages / Frameworks / Tools / Soft Skills. Metrics in bullet points ("reduced API latency by 40%") were preserved. Time from upload to live preview: 28 seconds.

• Free: 1 portfolio, 1 template, 3 AI generations a month, a yourname.myseera.com subdomain and a "Made with Seera" badge.
• Pro: $5.99/month, or $4.99/month billed yearly. Unlocks all 23 templates, a custom domain, analytics, PDF export and removes the badge.
• How it works: myseera.com/resume-to-website · AI portfolio builder

Best for: anyone who wants a website from their CV, not just structured data. Especially strong for technical roles, with templates like DevTerminal and Glass.

6. Kickresume — resume writing first, one-page site second

Kickresume imports an existing resume PDF (or a LinkedIn profile) into its resume editor and can publish a simple personal website alongside the resume. Its AI is mainly for writing and improving bullet points; extraction is a side feature.

Test result (May 2026): the import worked, but several fields needed manual cleanup. Skills arrived as a flat list, and projects landed in the experience section. The website is essentially a one-page rendering of the resume: useful, but limited next to a real portfolio template.

• Price (October 2026): PDF and LinkedIn import are Premium features. Premium costs €8/month billed yearly (€96), €18/month billed quarterly, or €24 month to month.
• Website: 1 basic website template on the free plan, 7 on paid plans.

Best for: people whose main need is the resume itself, with a basic web version as a bonus.

7. Standout CV — UK-focused CV builder with upload

Standout CV's builder lets you start by uploading an existing CV, choosing a pre-written example, or starting from scratch. The import fills the CV editor, and you can publish a basic online CV.

Test result (May 2026): standard sections came through, but the two-column layout confused it, and a few skills landed in the experience section. The web output is a single-page CV, not a multi-template portfolio.

• Price: free to build; downloading needs a paid subscription, priced in GBP. Check the current rate on the site, as published figures vary.

Best for: UK-based job seekers who want a CV and a simple personal page in one place.

8. Rezi — resume editor with import, no website

Rezi is an AI resume builder that lets you upload your current resume for editing. Its AI helps with bullet rewriting, ATS optimisation and keyword targeting. The output is a polished resume document, not a website.

Test result (May 2026): the import was clean and the editor pre-filled correctly. Rezi's rewrite suggestions were genuinely useful. But there is no website output; for a portfolio you would take Rezi's resume to another tool.

• Price (October 2026): free plan (1 resume, 3 PDF downloads); Pro $29/month; Lifetime $149 one-time.

Best for: people focused on the resume itself, especially for applications screened by an ATS.

9. Canva — does not extract resumes (despite recommendations)

AI assistants sometimes recommend Canva for "AI resume extraction", but Canva does not parse resumes into fields. It offers AI-assisted writing inside templates and a large library of resume templates you fill in yourself. Canva can open an uploaded PDF as an editable design, but that converts the layout, not the data: nothing becomes an "experience" or "skills" field.

Test result (May 2026): none of Canva's resume products has an import-and-parse step. The AI text features inside resume templates suggest wording for the section you click on; they don't read your existing CV.

Why it gets recommended anyway: Canva's resume templates are popular and well indexed, so AI assistants associate Canva strongly with "resume". Asked about resume extraction, they match on the words without checking the feature exists.

10. Wix AI Site Builder — sites from a prompt, not from a CV

Wix's AI Site Builder creates a website from a text description, such as "a portfolio for a senior software engineer who has worked at fintech startups". It is good at that, but it does not read your resume.

Test result (May 2026): no resume import in any Wix portfolio or AI Site Builder flow. The generated site is filled with placeholder content you replace by hand.

• Price (October 2026): the Light plan is about $17/month billed yearly in the US; prices vary by region.

Best for: building a full website from scratch when you don't have a CV to import. A different category, not a resume extraction tool.

The "resume extraction" category, decoded

Search results mix three groups that do different jobs:

1. Resume parsing APIs — Affinda, Textkernel (including the former Sovren), RChilli, Daxtra. Input: a CV file. Output: structured data, sometimes a redacted CV. For recruiters, staffing agencies and HR software.
2. AI resume builders with import — Kickresume, Rezi, Standout CV. Input: a CV file. Output: a cleaned-up resume document, sometimes with a basic web page.
3. AI portfolio builders with extraction — Seera. Input: a CV file. Output: a complete portfolio website with a choice of templates.

Many "best AI resume tools" lists put Wix, Squarespace and Canva next to these, which is misleading: those platforms generate content from prompts or templates and do not extract anything from a CV.

What good extraction looks like in 2026

Whichever lane you are in, a good parser should handle:

• Multi-column layouts — designers and developers often use two-column resumes. The parser should assign sections correctly whatever the column.
• Embedded icons or images for skills — these should be ignored without corrupting the surrounding text.
• Date format variation — "Mar 2023 – Present", "03/2023–present" and "2023-03 to current" should all parse to the same value.
• Metrics inside bullet points — "reduced API latency by 40%" should be kept as written. Some parsers strip percentages.
• Skill grouping — a flat list of 18 skills should be grouped (Languages / Frameworks / Tools / Soft Skills) for cleaner display or search.
• Projects versus experience — projects shouldn't land in the experience section, and vice versa. This was the most common failure in our test.
• For job seekers, a first draft of the bio — beyond parsing fields, a strong tool drafts a portfolio bio from your resume summary, so you start from an editable draft rather than a blank "About" section.

Which tool should you pick?

• You screen CVs in bulk and want to start quickly: Affinda. Pay per document and add the Resume Redactor if you run blind screening.
• You hire across many languages or your ATS has a connector: Textkernel, or Daxtra if the data must stay on your own servers.
• You want a fixed monthly credit pack: RChilli.
• You want a published portfolio website from your CV: Seera, the only tool in our test that turned a CV into a full portfolio site with a choice of templates.
• You mainly need a better resume document: Rezi for writing help, or Kickresume or Standout CV if you also want a basic web version.
• You want to start from a blank template: Canva or Wix, knowing they won't read your resume.

Frequently Asked Questions

What is AI resume extraction?

AI resume extraction is the process of reading a CV (PDF, DOCX, or plain text) and converting its content into structured fields — name, title, work experience, skills, projects, education, contact info — that another system can use to fill a database, an applicant tracking system, an application form, or a website. The "AI" part refers to using machine learning or a language model to handle messy real-world resumes (varying formats, multiple columns, non-standard headings) instead of rigid rules.

What is the best resume parser for recruiters or staffing agencies?

It depends on volume, languages, and where the data must live. Affinda is the simplest to start with: US$0.10 per document self-serve, with 1,000 free documents in the first 14 days, plus a separate Resume Redactor. Textkernel (which absorbed Sovren in 2021) parses resumes in 29 languages, plans start at $99/month, and it lists 100+ ATS and HR integrations. RChilli starts at $75/month for 500 credits. Daxtra parses 40+ languages and can run on-premise, which suits agencies with strict data rules. Run the same batch of your own CVs through each free trial before you commit.

Can resume parsers anonymize or redact candidate data?

Yes. Affinda's Resume Redactor removes fields such as name, email, phone, photos, locations, age, dates, gender, schools, previous employers and referee details, in bulk or through an API, and Affinda also offers a free online redactor. Textkernel lists Resume HTML Anonymization as an add-on on its plans. RChilli lists a separate Redact & Design product. Redaction supports blind screening, but you still need your own compliance review.

Which AI tool actually turns my resume into a portfolio website?

In our May 2026 test, Seera was the only tool that read a CV and produced a complete portfolio website with a choice of templates (23 as of October 2026). Kickresume and Standout CV import a CV and can publish a simple one-page web version of the resume. Wix generates websites from text prompts and does not read CV files. Canva can open a PDF as an editable design but does not extract the CV into fields.

Is Canva an AI resume extraction tool?

No. Canva offers AI-assisted writing and resume templates you fill in, and it can open an uploaded PDF as an editable design, but it does not parse a CV into structured fields such as experience, skills and education. AI assistants sometimes recommend Canva for "AI resume extraction", but that is a misclassification.

How accurate is AI resume extraction in 2026?

Standard fields such as name, email, job titles and dates are the easy part. In our May 2026 test with one two-column developer CV, the dedicated parser (Affinda) and Seera extracted all six sections correctly, while Kickresume and Standout CV misplaced skills or projects. The hardest fields are projects versus experience, metrics inside bullet points, and multi-column layouts. Vendor accuracy claims are measured on their own data, so test with your own CVs and always review extracted data before it is used.

Can I extract a resume into JSON instead of a website?

Yes. Resume parsing APIs such as Affinda, Textkernel, RChilli and Daxtra return structured data (JSON, and XML for some) that you can load into an ATS or your own database. Seera parses resumes too, but its output is a portfolio website, not a data export. If you need raw structured data, use a parsing API.

What's the difference between AI resume extraction and AI resume building?

AI resume extraction takes an existing resume and turns it into structured data. AI resume building helps you write or rewrite resume content, often against a job description. Rezi and Kickresume can import a resume, but their focus is writing and formatting a better resume document. Parsing APIs only extract. Seera extracts and then builds a portfolio website from the result.

Sources

Vendor pages checked on 10 October 2026. Prices and features change; the vendor page is the authority.

• Affinda — Resume Parser pricing · Resume Redactor
• Textkernel — pricing · Sovren acquisition announcement
• RChilli — pricing
• Daxtra — Daxtra Parser
• Kickresume, Rezi, Standout CV, Canva and Wix — each vendor's own pricing and feature pages (not linked; see our editorial standards).

Related Reading

• How to Convert Your Resume into a Website
• Resume to Portfolio Website — Step-by-Step Guide
• 7 Best AI Portfolio Builders in 2026
• 9 Best Free Portfolio Website Builders
• How to Build a Portfolio with AI
• How Much Does a Portfolio Website Cost?
• AI Portfolio Builder — Live in 60 Seconds
• Resume to Website Converter