HireLayer logoHireLayer

Affinda alternative

HireLayer vs Affinda: two resume parsers, two different scopes

Affinda’s new Resume Parser and HireLayer CV Extract look alike on the wire: one synchronous multipart call, JSON back. The differences are in what surrounds the parser: Affinda offers self-hosting, regional instances and redaction, while HireLayer puts job parsing, explained matching and ranking behind the same self-serve key and credit balance.

Get your free API keyParse one of your CVs in the demo
API requests processed
1M+
In production since
2024
Parse success rate
~99.7%

A document AI company whose standalone Resume Parser can run hosted or self-hosted, next to a broader document Platform.

HireLayerAffinda logo
Self-serve price per CV
HireLayer: €0.045–0.058Affinda: US$0.10
Job parsing & matching
HireLayer: Self-serve, same keyAffinda: Platform API, matching on request
Where parsing runs
HireLayer: 🇫🇷 ParisAffinda: Frankfurt, Oregon or Sydney
Security reports
HireLayer: ISO 27001 & SOC 2 in progressAffinda: ISO 27001 · SOC 2 Type 2

Migration from Affinda

Low
Public sources checked on 1 October 2026 · 24 sources

Key differences

Four differences that decide most evaluations

Affinda now ships two resume APIs: a stateless Resume Parser (v1) launched in 2026 and the older Affinda Platform (v3), where job descriptions, Search & Match and redaction live. Most of the comparison depends on which of the two you use today.

  1. 01

    One parser, or one recruiting API set

    Affinda’s v1 parser is a separate service from the v3 Platform that hosts job description parsing and Search & Match, and Search & Match is offered on request. HireLayer’s five APIs share one X-API-Key and one credit balance, and every plan can call all of them.

  2. 02

    Price at low and mid volume

    Affinda’s self-serve rate is US$0.10 per document. HireLayer’s paid plans and packs work out to €0.045–0.058 per credit. From roughly 10,000 CVs a month, Affinda’s annual hosted plans close the gap, and at 50,000 a month they are cheaper than HireLayer’s public packs.

  3. 03

    Where the parser can run

    Affinda runs separate AU, US and EU instances and sells a self-hosted container that verifies its licence offline. HireLayer is hosted only, with no region choice and no on-premise option. If the CV must not leave your infrastructure, Affinda covers a case HireLayer does not.

  4. 04

    Fields each API normalizes

    Affinda’s v1 schema adds date precision, tenure metrics and a redacted copy of the text. HireLayer adds CEFR language levels, EQF education levels, contract types, mobility cities and French ROME occupation codes. Pick the one whose fields your product already stores.

Hosting, speed and integrations

Where your CVs are processed, and how HireLayer plugs in compared with Affinda

HireLayer parses in France and keeps AI processing in the EU. Fast mode is in beta and connectors are built on request: the statuses below say exactly that, next to what the other vendor documents.

AI and hosting in France 🇫🇷

HireLayer·where a CV goes

Parsing

Paris data center, France

Files & photos

Stored in Paris, short-lived signed links

AI models

In-house AI pipeline, processed in the EU

JSON response

Back to your backend; do_not_store_data available

Affindaas documented

Parsing
Partly, with limits:Region you call: Sydney, Oregon or Frankfurt; no France region
Documents
Available:v1 keeps no copy of the file; Platform documents kept until deleted or expired
AI models
Partly, with limits:In the region called; on the Platform, blocking cross-region inference is on request

Fast mode

HireLayer

Beta:Fast mode in beta, enabled per account on request; no published timing

We do not publish timings for the beta. Ask for access and measure it on your own CVs before relying on it.

Affinda logo

Not available:No separate mode; the vendor states a 50 ms median parse, without a method

Integrations

HireLayer has no marketplace apps yet. Connectors for Zapier, Make, Salesforce, SAP SuccessFactors, Workday, Tableau or your ATS are built by our team on request; in the meantime every API works from any HTTP step, with an optional webhook on each parse.

Affinda statuses come from its own documentation and the tools’ marketplaces. “Via API” means no connector exists but the API can be called from that tool.

Ask for a connector
Connector availability: HireLayer and Affinda
ToolHireLayerAffinda logo
ATS / HCM appsOn request:On request:Custom projects (a Bullhorn case study); no ATS marketplace app found
ZapierOn request:Not available:No Zapier app listed
MakeOn request:Partly, with limits:Community apps published by third parties, not by Affinda
SalesforceOn request:Partly, with limits:Platform destination set up with Affinda Agent; no AppExchange app
SAP SuccessFactorsOn request:Not available:Not listed (SAP Business One appears as a Platform destination)
WorkdayOn request:Not available:Not listed (Workday Financial Management appears instead)
TableauOn request:Not available:Not listed; Power BI and Power Automate are

HireLayer vs Affinda

Feature comparison

Affinda cells describe the v1 Resume Parser unless the Platform (v3) is named. Highlighted rows show where one side has a documented edge; every Affinda cell links to its source.

HireLayer edge
6
Affinda edge
9
Criteria
41
  • Available
  • Partly, with limits
  • Beta
  • In progress
  • On request
  • Via API only
  • Not available
  • Not verified

Checked on 1 October 2026

Pricing and billing
Self-serve start
Available:

HireLayer:Sign up and get an API key; Free plan with 50 credits / month

Available:

Affinda:Pay by card; first 14 days include 1,000 free documents[1]

Self-serve price per CVHireLayer edge
Available:

HireLayer:€0.045–0.058 per credit on public plans and packs

Available:

Affinda:US$0.10 per document[1]

High-volume pricingAffinda edge
Partly, with limits:

HireLayer:€0.045–0.058 per credit on public plans and packs; Enterprise volumes on quote

Available:

Affinda:Published annual tiers from US$3,600 for 66,000 documents down to US$0.0096 per document at 5 million[1]

Billable unit
Available:

HireLayer:1 credit per successful call, shared by all five APIs

Available:

Affinda:1 credit per successful parse, any page count; failed parses are free[3]

Scanned documents
Available:

HireLayer:Scans and photos cost the same 1 credit

Available:

Affinda:No OCR surcharge documented for the Resume Parser[3]

Extraction quality and coverage
Published accuracy evidence
Not available:

HireLayer:No published benchmark with a reproducible method; test your own CVs in the demo

Partly, with limits:

Affinda:92% overall vs three unnamed competitors; dataset not disclosed[2]

Fields returned
Available:

HireLayer:Contact, experience, education, languages with CEFR level, typed skills, certifications, availability, mobility, driving licences, ROME codes

Available:

Affinda:Person, contact, work history with date precision, education, skills with taxonomy id, certifications, projects, tenure metrics[6]

Long or complex CVsHireLayer edge
Available:

HireLayer:Read in full up to 100,000 characters; longer files get a 422 DOCUMENT_TOO_LARGE, never a silent cut

Partly, with limits:

Affinda:Only the first 20 pages contribute fields and OCR reads the first 3 pages[7]

Rejects documents that are not CVs
Available:

HireLayer:HTTP 422 with DOCUMENT_NOT_A_RESUME, _UNREADABLE or _TEXT_EMPTY

Available:

Affinda:meta.document.classification returns a label and confidence[6]

Confidence informationAffinda edge
Not available:

HireLayer:No field-level confidence scores

Partly, with limits:

Affinda:Document classification and extraction-quality score on v1; field-level confidence on the Platform[6][12]

Candidate photo
Available:

HireLayer:face_url: the candidate photo as a temporary signed link, including from PDF CVs

Available:

Affinda:headshot returned as base64 on v1; as a URL on the Platform[6][18]

Skills
Available:

HireLayer:Hard, soft or software skill, with domain, subcategory and raw / normalized status

Available:

Affinda:Normalized name plus an Affinda taxonomy id, software and language flags[6]

Occupation codes
Partly, with limits:

HireLayer:French ROME codes with a prediction score; no O*NET or ISCO

Partly, with limits:

Affinda:v1 returns a normalized title; SOC, ISCO and O*NET mappings shown in marketing material[6][2]

Redaction for blind hiringAffinda edge
Not available:

HireLayer:No anonymization or redaction endpoint

Available:

Affinda:redactedText in every v1 response; Resume Redactor on the Platform[6]

Formats and languages
File formats
Available:

HireLayer:13 formats: PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG/JPEG, PNG, BMP

Available:

Affinda:PDF, DOC, DOCX, ODT, XLS, XLSX, ODS, RTF, HTML, SVG, TXT, PNG, JPEG, GIF, TIFF, BMP, WEBP; .ppt is rejected[7]

Size limits
Available:

HireLayer:6 MiB encoded request · 100,000 extracted characters

Available:

Affinda:20 MB per file[7]

LanguagesHireLayer edge
Available:

HireLayer:70 languages, each covered by HireLayer’s internal tests

Partly, with limits:

Affinda:“50+” stated; non-English CVs need language=multi on v1[2][5]

AI and hosting
Where parsing runsHireLayer edge
Available:

HireLayer:🇫🇷 Parsing runs in France, in a Paris data center

Partly, with limits:

Affinda:Region you call: Sydney, Oregon or Frankfurt; no France region[17]

Where documents are stored
Available:

HireLayer:🇫🇷 Files and extracted photos stored in Paris; photos served through short-lived signed links

Available:

Affinda:v1 keeps no copy of the file; Platform documents kept until deleted or expired[4][15]

Where AI models run
Available:

HireLayer:🇪🇺 HireLayer’s in-house AI pipeline, with processing kept in the EU

Partly, with limits:

Affinda:In the region called; on the Platform, blocking cross-region inference is on request[17][14]

Self-hostingAffinda edge
Partly, with limits:

HireLayer:Hosted only; no self-hosting or region choice

Available:

Affinda:Docker image (CPU or GPU) with offline licence checks[8]

Retention control
Available:

HireLayer:do_not_store_data=true per request disables retention

Available:

Affinda:Stateless v1; delete and expiry settings on the Platform[15]

Security reportsAffinda edge
In progress:

HireLayer:ISO 27001 and SOC 2 in progress

Available:

Affinda:ISO 27001:2022 certified, SOC 2 Type 2[16]

Speed
Fast mode
Beta:

HireLayer:Fast mode in beta, enabled per account on request; no published timing

Not available:

Affinda:No separate mode; the vendor states a 50 ms median parse, without a method[2]

ATS connectors
ATS integrations
On request:

HireLayer:Built by HireLayer on request; no marketplace app published

On request:

Affinda:Custom projects (a Bullhorn case study); no ATS marketplace app found[22]

Connectors and tools
Zapier
On request:

HireLayer:On request; no public Zapier app

Not available:

Affinda:No Zapier app listed[19]

Make
On request:

HireLayer:On request; no public Make app

Partly, with limits:

Affinda:Community apps published by third parties, not by Affinda[21]

Salesforce
On request:

HireLayer:On request; no AppExchange listing

Partly, with limits:

Affinda:Platform destination set up with Affinda Agent; no AppExchange app[20]

SAP SuccessFactors
On request:

HireLayer:On request; no SAP Store listing

Not available:

Affinda:Not listed (SAP Business One appears as a Platform destination)[19]

Workday Recruiting
On request:

HireLayer:On request; no Workday Marketplace listing

Not available:

Affinda:Not listed (Workday Financial Management appears instead)[19]

Tableau
On request:

HireLayer:On request

Not available:

Affinda:Not listed; Power BI and Power Automate are[19]

API and integration
DocumentationAffinda edge
Available:

HireLayer:Public reference with cURL, Python and Node.js examples, field formats and every error code

Available:

Affinda:OpenAPI spec, interactive docs, llms.txt and an MCP connector[23][24]

Request style
Available:

HireLayer:REST · multipart file upload · synchronous JSON response

Available:

Affinda:POST /v1/resumes/parse, multipart or raw bytes; nothing to poll[4]

WebhooksHireLayer edge
Available:

HireLayer:Optional webhook_url on every parse; V2 callback-only contract still available

Partly, with limits:

Affinda:None on v1; Platform (v3) has webhooks and polling[4][11]

Official SDKsAffinda edge
Not available:

HireLayer:No official SDKs; cURL, Python and Node.js examples in the docs

Available:

Affinda:Python and TypeScript (2025–26), .NET and Java (last released 2024), for the Platform API[13]

Throughput guidanceAffinda edge
Not verified:

HireLayer:No published rate limit; agree concurrency with us for bulk loads

Available:

Affinda:6,000 parses / minute per organisation on v1; 20 documents / minute default queue on v3[7][10]

Complementary APIs
Job description parsing
Partly, with limits:

HireLayer:Job text → weighted, CV-checkable criteria; labels are generated in French

Available:

Affinda:Job description parser included with the Resume Parser offer[2]

Candidate–job matchingHireLayer edge
Available:

HireLayer:Stateless: send job, candidate and criteria; get a status and explanation per criterion

Partly, with limits:

Affinda:Search & Match on indexed documents, 0–1 score; available on request[2][9]

Skills analysis
Available:

HireLayer:Skills Matching API: up to 100 free-text skills per request against a catalog

Available:

Affinda:Skills taxonomy in every parse; skill and job title suggestions on Search & Match[6][9]

Candidate ranking
Available:

HireLayer:Rank 1–10 candidates against one job in a single call

Partly, with limits:

Affinda:Ranked search over an index you maintain (Search & Match)[9]

Hosted search indexAffinda edge
Not available:

HireLayer:No hosted candidate index or search engine

Available:

Affinda:Resume and job indexes; 1 credit per document added[9]

Cost per CV

Affinda pricing vs HireLayer pricing

Both vendors bill one unit per successful parse, so the unit prices compare directly. Affinda prices in US dollars and HireLayer in euros; USD equivalents use the ECB reference rate and are shown only as a guide.

CVs parsed per month

HireLayer

€89 / month

Scale plan · €0.045 per CV · ≈ $101 / month

Affinda

$200 / month

Self-serve at US$0.10 per document · $0.10 per CV

Lowest published option that covers the volume, at list prices. Excludes enterprise quotes and first-purchase offers. HireLayer credits are shared by all APIs; this assumes they all go to parsing. Bars compare USD equivalents at the ECB reference rate of 2026-09-30 (€1 = $1.1355).

Reading the numbers

Up to about 2,000 CVs a month, HireLayer’s published plans cost roughly half of Affinda’s self-serve rate. Around 10,000 a month the two are close: €449 for HireLayer against US$500 a month on Affinda’s annual plan. At 50,000 a month Affinda’s annual plan is about half the price of HireLayer’s public packs, so ask us for an Enterprise quote before comparing at that volume.

Affinda published prices

  • Self-serveUS$0.10 / document

    Card payment, no annual commitment, 1,000 free documents in the first 14 days.

  • Hosted annualUS$3,600 – 48,000 / year

    66,000 to 5 million documents a year, through sales. Overage at the committed rate.

  • Self-hosted annualUS$12,000 – 34,000 / year

    500,000 to 5 million documents a year, with a free evaluation.

Billing rules

  • One successful parse is one credit, whatever the page count; a failed parse costs nothing.
  • Search & Match uses a credit each time a document is added to an index.
  • A docs page still quotes US$0.20 per credit for self-serve purchases; the pricing page shows US$0.10. We use the pricing page.

HireLayer published prices

1 successful API call = 1 credit across every API.

  • Free50 credits / month€0 / month
  • Starter500 credits / month€24 / month€48.00 per 1,000
  • Scale2,000 credits / month€89 / month€44.50 per 1,000
  • Credit pack500 credits, one-time€29€58.00 per 1,000
  • Credit pack2,000 credits, one-time€99€49.50 per 1,000
  • Credit pack10,000 credits, one-time€449€44.90 per 1,000

Enterprise volumes on quote. Prices from the HireLayer pricing page.

Analysis

Formats, API design and extraction in detail

What changes for an engineering team that already runs Affinda in production.

01

Two Affinda APIs, one HireLayer contract

If you integrated Affinda before 2026, you probably call the Platform API (api.affinda.com/v3): upload a document to a workspace, wait or poll, then read fields that carry bounding boxes and confidence values. The new Resume Parser at resume-parser.affinda.com/v1 drops all of that: one request, nothing stored, a sparse {data, meta} response.

HireLayer’s V3 parser sits closer to Affinda v1. The difference is scope: job criteria, matching, skills normalization and ranking are separate endpoints on the same host and key, so a team adding matching later does not open a second integration or a sales conversation.

02

Formats and long documents

Affinda accepts a wider image set (GIF, TIFF, WEBP) and spreadsheet formats such as XLSX and ODS, plus HTML and SVG. HireLayer accepts PowerPoint (PPT, PPTX, ODP), which Affinda rejects for .ppt.

Page limits work differently. Affinda accepts files up to 20 MB but only reads fields from the first 20 pages and runs OCR on the first 3. HireLayer caps the encoded request at 6 MiB and the extracted text at 100,000 characters, and rejects longer documents with a 422 DOCUMENT_TOO_LARGE code instead of truncating them.

03

What the JSON gives you

Affinda’s v1 schema is sparse: a field that was not found is absent, while lists are always present. HireLayer returns the full key set, with null for missing values. Code that relied on key presence needs a small change either way.

Each schema has fields the other lacks. Affinda returns dates with a year, month or day precision, tenure metrics (total, average and longest tenure, gaps) and a redacted copy of the text. HireLayer returns availability, mobility cities with coordinates, CEFR language levels, EQF education levels, a canonical contract type and ROME occupation codes. A French staffing product uses the second set directly; a US ATS may need the first.

04

Hosting, AI processing and security

Affinda’s Resume Parser runs in the region you call: Sydney, Oregon or Frankfurt. Documents sent to v1 are not kept; on the Platform they are kept until you delete them or set an expiry, and blocking cross-region inference has to be requested. Affinda also publishes ISO 27001:2022 and SOC 2 Type 2 and sells a self-hosted container.

HireLayer parses CVs in Paris, France and stores files and extracted photos there, serving photos through short-lived signed links. Its in-house AI pipeline processes CV content in the EU, so AI processing stays in Europe but is not pinned to France. The web app is hosted in Europe. Its ISO 27001 and SOC 2 certifications are in progress, and it has no on-premise option.

If your requirement is processing in France, HireLayer meets it and Affinda’s regions do not. If it is a completed SOC 2 report or on-premise processing, Affinda meets it today and HireLayer does not yet.

Which to choose

When HireLayer fits, and when Affinda is the better choice

Both lists come from the comparison above. If most of your requirements sit in the right-hand column, stay where you are.

Choose HireLayer when…

  • You want CV parsing, job criteria, explained matching and ranking under one self-serve key and one credit balance.
  • You parse fewer than about 10,000 CVs a month and want monthly plans with no annual commitment.
  • Your product needs CEFR levels, EQF education levels, mobility cities or French ROME codes.
  • Candidates send PowerPoint CVs, or CVs longer than 20 pages that must be read in full.

Stay with Affinda when…

  • You must self-host the parser or pick an AU, US or EU instance.
  • Your security review requires ISO 27001 or a SOC 2 Type 2 report.
  • You need redacted CV text for blind screening, or field-level confidence and bounding boxes (Platform).
  • You parse 50,000+ CVs a month and can commit to an annual plan.

Switching

Moving from Affinda v1 to HireLayer

Same request style (multipart, synchronous). The work is in the field mapping and in replacing Search & Match calls if you use them.

Estimated effort

Low
Before · Affinda Resume Parser (v1)POST /v1/resumes/parse
curl -X POST https://resume-parser.affinda.com/v1/resumes/parse \
  -H "Authorization: Bearer YOUR_AFFINDA_KEY" \
  -F "[email protected]"
After · HireLayer CV ExtractPOST /api/v3/parser
curl -X POST https://onlineresumeparser.com/api/v3/parser \
  -H "X-API-Key: YOUR_HIRELAYER_KEY" \
  -F "[email protected]" \
  -F "application_id=app_123"

Field mapping

Affinda paths from the v1 response schema; HireLayer paths from the V3 API reference.

Affinda response fields and their HireLayer equivalents
AffindaHireLayer V3
data.person.name.given / .familyinfo_candidate.first_name / .last_name
data.contact.emails[0]info_candidate.email
data.contact.phoneNumbers[0].formattedinfo_candidate.phone_number
data.person.location.countryCode / .cityinfo_candidate.location.country_code / .city
data.workExperience[].organization / .jobTitlework_experiences[].company_name / .job_title
workExperience[].dateRange.start.datework_experiences[].start_dateISO date; no precision field
workExperience[].dateRange.end.currentwork_experiences[].currently_active
workExperience[].dateRange.durationMonthswork_experiences[].experience_durationmonths
data.education[].institution / .qualificationeducations[].school_name / .degree_title
data.skills[].nameskills[].skill_titleplus skill_type, domain, status
data.languages[].namelanguages[].languageplus CEFR level
data.rawTextinfo_resume.text
meta.document.classification.labelHTTP 422 DOCUMENT_NOT_A_RESUMEerror instead of a label

Migration steps

  1. STEP 01

    Swap the call

    Replace the Bearer header with X-API-Key and post the same multipart file to /api/v3/parser. Pass your own reference as application_id.

  2. STEP 02

    Map fields and nulls

    Apply the mapping above and read missing values as null rather than absent keys. Dates arrive as ISO strings without a precision flag.

  3. STEP 03

    Handle 422 codes

    Replace the classification-label check with handling for DOCUMENT_NOT_A_RESUME, DOCUMENT_UNREADABLE and DOCUMENT_TEXT_EMPTY.

  4. STEP 04

    Run both on the same files

    Send a sample of your own permissioned CVs to both APIs and compare the fields you store before switching traffic.

HireLayer CV Extract · Resume Parsing API

The fields Affinda users usually map first

A trimmed V3 response for a bilingual analyst. It shows the normalized values Affinda’s v1 schema does not return: CEFR levels, EQF level, contract type, mobility and ROME codes.

HireLayer CV Extract overviewHireLayer CV Extract docs
RequestPOST /api/v3/parser
curl -X POST https://onlineresumeparser.com/api/v3/parser \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "[email protected]" \
  -F "application_id=ats_48213"
Response (trimmed)200 OK · application/json
{
  "status": "success",
  "request_id": "req_01JA2C7V6Q4M0X8R1T5N3K9P2D",
  "info_candidate": {
    "full_name": "Camille Durand",
    "job_title": "Data Analyst",
    "education_level": "Level 7",
    "experience_level": "1 to 3 years",
    "availability_now": true,
    "location": { "city": "Lyon", "country_code": "FR", "postal_code": "69003" },
    "mobility": {
      "can_work_in_other_cities": true,
      "other_cities": [{ "city": "Grenoble", "country": "France" }]
    }
  },
  "work_experiences": [
    {
      "company_name": "Rhône Mobilités",
      "job_title": "Data Analyst",
      "contract_type": "Fixed-term contract",
      "start_date": "2024-01-08",
      "end_date": null,
      "currently_active": true,
      "experience_duration": 33
    }
  ],
  "languages": [
    { "language": "French", "level": "Native or Bilingual (C2)" },
    { "language": "English", "level": "Professional Working Proficiency (B2)" }
  ],
  "rome_jobs": [
    {
      "job_title": "Data Analyst",
      "rome_code": "M1403",
      "rome_title": "Études et prospectives socio-économiques",
      "prediction_score": 0.91
    }
  ]
}
languages[].level
CEFR level from A1 to C2, where Affinda v1 returns the language name only.
info_candidate.education_level
European Qualifications Framework level of the highest degree.
work_experiences[].contract_type
Canonical contract type, useful for French and EU job orders.
rome_jobs[]
ROME occupation code with a prediction score.

Run your own CVs through HireLayer and Affinda

The only comparison that settles quality is yours. Take 20 to 50 permissioned CVs that look like your real intake, scans included, parse them with both APIs and compare the fields you store.

  1. 1Create a free account: 50 credits a month, no plan to pick.
  2. 2Parse the same sample with Affinda and keep its JSON.
  3. 3Run the loop on the right and diff the fields side by side.
Get your free API keyTry one CV in the demo first
Parse a folder of CVs with HireLayerbash · 1 credit per successful parse
mkdir -p hirelayer
for f in sample/*; do
  curl -s -X POST https://onlineresumeparser.com/api/v3/parser \
    -H "X-API-Key: $HIRELAYER_API_KEY" \
    -F "file=@$f" \
    -o "hirelayer/$(basename "$f").json"
done

FAQ

HireLayer vs Affinda: questions buyers ask

Where does HireLayer process CVs compared with Affinda?

HireLayer parses CVs in Paris, France and stores files and extracted photos there; its in-house AI pipeline processes CV content in the EU. Affinda’s Resume Parser runs in the region you call (Sydney, Oregon or Frankfurt) and keeps no copy on v1, and it also offers a self-hosted container.

Is HireLayer cheaper than Affinda?

At published self-serve prices, yes up to roughly 2,000 CVs a month: €24 for 500 credits or €89 for 2,000, against US$0.10 per document on Affinda. Around 10,000 a month the totals are close, and at 50,000 a month Affinda’s annual hosted plan costs less than HireLayer’s public credit packs. Use the calculator above with your own volume.

Can HireLayer be self-hosted like Affinda?

No. HireLayer is a hosted API only, with no on-premise container and no region choice. If parsing must happen inside your own infrastructure, Affinda’s self-hosted Resume Parser covers that and HireLayer does not.

Does HireLayer detect documents that are not CVs?

Yes. Where Affinda returns a classification label and confidence in meta, HireLayer returns HTTP 422 with DOCUMENT_NOT_A_RESUME, DOCUMENT_UNREADABLE or DOCUMENT_TEXT_EMPTY, and no profile is created. Failed parses do not consume credits on either service.

Which parser is more accurate?

Neither vendor has published a benchmark you can reproduce. Affinda’s accuracy figures compare it with unnamed competitors on an undisclosed dataset, and HireLayer has no published benchmark. Run the same permissioned CVs through both APIs and score the fields you store.

Do I need to change my Affinda job description and matching flows?

Only if you move them. HireLayer Job Extract returns weighted criteria rather than a full job record, and HireLayer Match evaluates one candidate against those criteria per request, with no index to maintain. If you rely on searching a stored pool of candidates, keep a search engine on your side; HireLayer does not host one.

Sources and method

Checked on 1 October 2026

Affinda facts come from its own public pages and documentation, opened on the date above. Third-party sources are labelled. Accuracy and speed figures are reported as each vendor states them; none of them, including ours, is an independent benchmark.

Prices are list prices in each vendor’s currency. USD equivalents use the ECB reference rate of 2026-09-30.

Offers change. If a fact here is out of date, tell us through the contacts in our legal notice and we will re-check it.

Affinda and the other product names and logos on this page are trademarks of their respective owners, shown only to identify the products compared.

  1. [1]Affinda Resume Parser pricing
  2. [2]Affinda Resume Parser product page and FAQ
  3. [3]Resume Parser docs: overview and billing
  4. [4]Resume Parser docs: quickstart
  5. [5]Resume Parser docs: API reference
  6. [6]Resume Parser docs: the parse response
  7. [7]Resume Parser docs: errors and limits
  8. [8]Resume Parser docs: self-hosted
  9. [9]Platform docs: resume credits and Search & Match
  10. [10]Platform docs: limits
  11. [11]Platform docs: webhooks
  12. [12]Platform docs: confidence
  13. [13]Platform docs: client libraries
  14. [14]Platform docs: deployment and data residency
  15. [15]Platform docs: data retention
  16. [16]Affinda security
  17. [17]Resume Parser docs: regions
  18. [18]Platform docs: image fields
  19. [19]Affinda integrations
  20. [20]Affinda integrations: Salesforce
  21. [21]Make: Affinda community apps (third party)
  22. [22]Affinda case study: Spencer Ogden
  23. [23]Platform API OpenAPI specification
  24. [24]Platform docs: MCP connector

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