- Resume parsers at a glance
- Ten resume parsers worth testing
- Which parser fits your setup
- When parsing turns into an automated hiring decision
- API, recruiting platform or general document parser?
- Six questions to ask a resume parser vendor
- Signs your parser setup needs a rethink
- My plain advice on choosing a resume parser
- Frequently asked questions
A resume parser reads resumes and CVs in formats like PDF or Word and turns them into structured candidate data, such as name, skills, job history and education, for an applicant tracking system or spreadsheet. Some are developer APIs, some are full recruiting platforms and some are general document tools. This page compares ten in no particular order.
Every recruiter knows the pain of retyping a resume into a system. A parser does that job in seconds, and the good ones handle messy layouts, columns and resumes in other languages.
The ten tools below cover developer APIs, agency software and no-code document tools. They're listed alphabetically and in no particular order, and every description comes from the vendor's own website, read this week. If you haven't chosen the system the data will land in yet, start with my guide to applicant tracking systems.
Resume parsers at a glance
I checked the free plan column on each tool's own website, as of Oct 2026. Yes means the site says the tool, or a plan or version of it, is free. Trial only means a time-limited trial. Not stated means the pages I read named neither, even where there's a button inviting you to try it, so check the vendor's page before you sign up.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Affinda | Resume parser API | Hosted or self-hosted parsing | Yes |
| Airparser | AI document parser | Resumes arriving by email | Not stated |
| Daxtra | Recruiting agency software with parsing | Staffing firms at volume | Not stated |
| Extracta | AI data extraction tool | Pulling skills from resumes without training | Not stated |
| HireAbility | Multilingual resume parser | Parsing CVs in many languages | Trial only |
| Hirize | HR document AI and parser | HR startups building on an API | Trial only |
| Mindee | Document extraction API | Resume data straight into JSON | Not stated |
| Nanonets | OCR and document automation | Turning PDF resumes into spreadsheets | Not stated |
| RChilli | Multilingual resume parser API | High-volume parsing with taxonomies | Not stated |
| Textkernel | Job and resume parsing software | Enterprise recruiting and job boards | Not stated |
Ten resume parsers worth testing
Affinda
Best for: Teams that want a resume parser they can run as a hosted API or inside their own environment from one command.
Airparser
Best for: Small teams whose resumes arrive as email attachments and PDFs and who want structured data without templates.
Daxtra
Best for: Staffing and recruiting agencies that want CV parsing built into a wider platform for search, matching and candidate engagement.
Extracta
Best for: Small teams that want to extract chosen fields from resumes, photos or scans with no model training.
HireAbility
Best for: Recruitment software vendors and agencies that receive resumes in many languages and need a parser that detects the language.
Hirize
Best for: HR startups and SaaS vendors who want a resume parser plus matching and analytics through one API.
Mindee
Best for: Developers who want to send resume files to an API and get structured JSON back inside their own app.
Nanonets
Best for: Teams that want PDF resumes converted into Excel, CSV or JSON without building anything themselves.
RChilli
Best for: HR tech vendors and large employers that parse high volumes of resumes in many languages through a REST API.
Textkernel
Best for: Job boards, HR software vendors and corporate HR teams that want resume and job parsing next to search and matching.
Which parser fits your setup
- Running a parser in your own environment: Affinda.
- Resumes in many languages: HireAbility or RChilli.
- Staffing agencies at volume: Daxtra.
- PDF resumes into spreadsheets: Nanonets.
- Developers wanting JSON from an API: Mindee.
- Resumes arriving by email: Airparser.
When parsing turns into an automated hiring decision
The NYC Department of Consumer and Worker Protection explains that the city's law on automated employment decision tools stops employers and employment agencies from using one unless it has had a bias audit within one year of use, a summary of the audit is public and candidates have been given notice. Its guidance says that notice must come 10 business days before the tool is used.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
A parser that only extracts data into fields is one thing. But many parsers now sit inside platforms that also score, rank or match candidates, and that's where rules like this one start to apply. If you hire for jobs in New York City, ask your vendor whether your setup counts as an automated decision tool, and keep a person in the loop on who gets shortlisted.
API, recruiting platform or general document parser?
A parsing API is for software teams. You send a resume and get structured data back, so it fits HR products, job boards and in-house systems.
A recruiting platform puts parsing alongside search, matching and candidate engagement. It's built for agencies handling a steady flow of applicants.
A general document parser handles resumes as one document type among many. It's a quick win for a small team whose resumes arrive by email, as long as you set up the fields yourself.
Six questions to ask a resume parser vendor
- Which file types and languages can it read?
- How many fields does it extract, and can I add my own?
- Does it connect to the system I already use?
- Can it run in my region or my own environment?
- Is my candidate data used to train its models?
- Does it score or rank candidates, or only extract data?
Signs your parser setup needs a rethink
- Recruiters still retype half the fields. Test another parser.
- Two-column resumes come out scrambled. Check layout handling.
- Nobody reviews the ranking. Put a person back in.
- You don't know where data is stored. Ask the vendor.
Do you make a resume parser or recruiting tool? Tool makers can ask to be considered for a featured place on this list.
My plain advice on choosing a resume parser
Test with your own worst resumes, not the vendor's samples. Pick ten that gave you trouble, including a two-column layout, a scanned PDF and one in another language, and run them through two parsers. Count the fields each one gets wrong. That afternoon will tell you more than any demo, and it keeps a person checking the data before anyone gets rejected.
If you're also using AI to screen applicants, read my notes on AI tools for screening candidates first.
Frequently asked questions
What is a resume parser?
It's software that reads resumes and turns them into structured data, such as name, contact details, skills and work history.
Is resume parsing accurate?
It's good on clean layouts and weaker on scans, tables and unusual designs. Test with your own resumes before you choose.
Can a resume parser read CVs in other languages?
Several are multilingual and some detect the language for you. Check the language list on each vendor's page.
Do I need a developer to use a resume parser?
Not always. Some tools work in a browser or by email, while APIs need someone to connect them to your system.
Is a resume parser the same as an ATS?
No. A parser extracts data; an applicant tracking system stores candidates and manages hiring. Many ATS products include a parser.
Are there legal rules on resume parsers?
Rules can apply when software scores or ranks candidates, such as New York City's law on automated employment decision tools.
