ExpandGood company. Great recruiting teams.
Get to know the person. Skip the data entry.
An uploaded CV becomes a searchable candidate record inside your recruitment CRM. Contact details, experience and skills are ready to review, tag and shortlist. No separate integration or parsing credits.
PUT IT INTO PRACTICE
How Longlist parses a CV
The same pipeline runs whether a recruiter uploads a CV or a candidate applies for a job.
- 01
Upload PDF, DOC or DOCX
Drag in a PDF or Word CV, or select up to 50 files for a bulk upload.
- 02
Text is extracted, even from scans
Text is extracted from the document, with an OCR fallback for scanned PDFs.
- 03
An AI model reads it like a recruiter would
AI turns the CV’s content into contact details, experience, education and skills.
- 04
Duplicates are matched before a record is created
Email addresses and profile URLs are checked against existing candidates to avoid creating duplicates.
- 05
Review, tag and shortlist
Check the result, edit any field and add the candidate to a job. The original CV stays attached.
THE DETAILS MAKE THE DIFFERENCE
What the CV parser extracts
Every parsed CV fills the same fields, which is what makes your database searchable.
Name
First and last name, used for the candidate record and duplicate checks.
Email addresses
Every email on the CV, not just the first one, so dedupe and outreach both work.
Phone numbers
All phone numbers listed, ready for click-to-call on the Plus plan.
LinkedIn URL
Captured as a link on the profile and used to match against existing candidates.
Location
Where the candidate is based, which feeds the location and radius filters in search.
Work history
Each role with company, title, start and end dates and the description the candidate wrote.
Education
Institutions, degrees and dates.
Skills
A skills list you can search and filter on straight away.
The original file
The CV itself, stored on the profile for reference or to send to a client.
Applicants are parsed automatically too
Applications from your careers page and the job’s apply-by-email address use the same parser. The CV becomes a candidate record in Review, ready for screening and outreach.
Resume parser pricing compared
Standalone parsers charge per document or per credit, and you still need software to put the results in. Built-in parsers in recruitment software vary in what they include.
| Software | Starting price | What to know |
|---|---|---|
| Longlist | Included on every plan | No parsing credits or per-document fees, and results land in the CRM. Plans from $47/user/mo billed annually ($59 monthly). See pricing. |
| Affinda | $0.10 per document | Self-serve API pricing; annual plans from $3,600 for 66,000 documents. You build the integration. |
| Textkernel (Tx) | From $99/mo | Credit-based API plans; OCR for image files, skills and title normalisation are add-ons. |
| RChilli | Quote-based | Credit-based API; 1 credit per resume plus 1 extra for scanned (OCR) documents. |
| Zoho Recruit | Included in paid plans | Staffing edition caps parsing at 250 resumes/day on Standard and 500/day on Professional; none on Free. |
Prices checked October 2026 from each vendor's public pricing page, per user per month. Vendors change pricing, so check before you buy.
When a parsing API is the better choice
Longlist’s parser is built for recruiters working in the CRM. If you need a standalone parsing API for your own software, see our resume parser comparison.
Is Longlist's resume parser really free?
Yes. Parsing is included on every Longlist plan, with no per-document fees or credit allowance.
Which file types can it parse?
PDF, DOC and DOCX, including scanned PDFs. Save image-only CVs as PDFs before uploading them.
How many CVs can I upload at once?
Up to 50 CVs per batch. For large archives, our team can handle the import as part of free data migration.
What happens if the candidate is already in my database?
Longlist matches email addresses and profile URLs, then updates the existing record instead of creating another one.
How accurate is AI resume parsing?
Every parsed profile is editable, and the original CV stays attached so you can check the result before using it.
YOUR NEXT CHAPTER STARTS HERE
Less admin.
More “you got the job.”
Let’s walk through a better working day for your agency.