RChilli alternative
RChilli prices every operation in credits: one for a parse, one more if the file needs OCR, two for a match. It covers a lot of ground, from taxonomy to enterprise HCM connectors. HireLayer does less, charges one credit for any successful call and takes a plain multipart upload instead of a base64 JSON body.
A recruiting data vendor selling resume and job parsing, taxonomy, search and redaction APIs, with connectors for Oracle, SAP, Salesforce and ServiceNow.
HireLayerMigration from RChilli
ModerateKey differences
Both vendors sell more than parsing. The comparison comes down to how you are billed, how you call the API and how much of RChilli’s wider catalogue you use.
RChilli’s cost sheet lists different credit costs per operation: 1 for a parse plus 1 for an OCR document, 2 for parse-and-index or a match, 0.3 for a taxonomy lookup. HireLayer charges 1 credit for any successful call on any of its five APIs, scans included.
RChilli’s REST parser takes a JSON body with the file as base64, the file name, your user key, a sub-user id and a version string. HireLayer takes the file as multipart form data and the key in a header, which keeps credentials out of request bodies and logs.
RChilli adds a taxonomy API, redaction, a resume templater, a hosted search engine, FTP bulk parsing and connectors for Oracle HCM, SAP SuccessFactors, Salesforce and ServiceNow. HireLayer has no taxonomy, redaction or search endpoint and builds HCM connectors only on request; it focuses on parsing, job criteria, matching with explanations, skills normalization and ranking.
RChilli returns 200+ fields with a confidence score on many of them and dates as text such as “July 2016”. HireLayer returns ISO dates, booleans and durations in months, plus CEFR and EQF levels, but no confidence scores.
Hosting, speed and integrations
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.
HireLayer·where a CV goesParsing
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
RChillias documented
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We do not publish timings for the beta.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.
Not available:No separate mode; about 400 ms of core NLP stated, faster with fields switched off
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.
RChilli 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| Tool | HireLayer | |
|---|---|---|
| ATS / HCM apps | On request: | Available:Oracle HCM, PeopleSoft and ServiceNow apps; Workday “coming soon”; no Bullhorn app |
| Zapier | On request: | Not available:No Zapier app |
| Make | On request: | Not verified:No Make app found |
| Salesforce | On request: | Available:AppExchange managed package |
| SAP SuccessFactors | On request: | Available:SAP SuccessFactors Marketplace app announced in June 2025 |
| Workday | On request: | Not available:Listed as “Coming Soon” |
| Tableau | On request: | Via API only:No connector; possible through the API |
HireLayer vs RChilli
RChilli cells describe the Standard plan and the REST resume parser (version 8.0.0) unless noted. Highlighted rows show where one side has a documented edge; every RChilli cell links to its source.
Checked on 1 October 2026
HireLayer:Sign up and get an API key; Free plan with 50 credits / month
RChilli:100 free credits, then monthly, quarterly or annual Standard plans[1]
HireLayer:€24 a month for 500 credits (€0.048 each)
RChilli:$75 a month for 500 credits ($0.15 each)[1]
HireLayer:€0.045–0.058 per credit on public plans and packs; Enterprise volumes on quote
RChilli:Published ladder down to $0.02 per credit (1,000,000 credits a year for $20,000)[1]
HireLayer:1 credit per successful call, shared by all five APIs
RChilli:Credits with per-operation costs: parse 1, parse-and-index 2, match 2, taxonomy 0.3[2]
HireLayer:Scans and photos cost the same 1 credit
HireLayer:Pack credits stay on the account
RChilli:Roll over on renewal at the same or a higher plan; lost on cancellation or downgrade[14]
HireLayer:No published benchmark with a reproducible method; test your own CVs in the demo
RChilli:Speed and volume claims only, without a method[3]
HireLayer:Contact, experience, education, languages with CEFR level, typed skills, certifications, availability, mobility, driving licences, ROME codes
HireLayer:HTTP 422 with DOCUMENT_NOT_A_RESUME, _UNREADABLE or _TEXT_EMPTY
RChilli:No dedicated error for non-CV documents in the published error list[6]
HireLayer:No field-level confidence scores
RChilli:ConfidenceScore on names, contacts, employers, institutions and more[5]
HireLayer:face_url: the candidate photo as a temporary signed link, including from PDF CVs
RChilli:CandidateImageData as base64, for DOC and DOCX only; not supported for PDF[15]
HireLayer:ISO dates, currently_active boolean, duration in months
RChilli:Text such as “July 2016”; IsCurrentEmployer returned as a string[5]
HireLayer:Hard, soft or software skill, with domain, subcategory and raw / normalized status
RChilli:Typed skills with ontology path and aliases[5]
HireLayer:No anonymization or redaction endpoint
RChilli:redactResume: 2 credits, 1 when you send parsed JSON[2]
HireLayer:13 formats: PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG/JPEG, PNG, BMP
HireLayer:🇫🇷 Parsing runs in France, in a Paris data center
HireLayer:🇫🇷 Files and extracted photos stored in Paris; photos served through short-lived signed links
RChilli:Resumes not kept after parsing; Search & Match data kept in the chosen region until deleted[19]
HireLayer:🇪🇺 HireLayer’s in-house AI pipeline, with processing kept in the EU
HireLayer:Hosted only; no self-hosting or region choice
RChilli:On-premise and dedicated servers on the Enterprise plan[1]
HireLayer:ISO 27001 and SOC 2 in progress
RChilli:ISO 27001:2022, SOC 2 Type II, HIPAA, GDPR listed[12]
HireLayer:Fast mode in beta, enabled per account on request; no published timing
RChilli:No separate mode; about 400 ms of core NLP stated, faster with fields switched off[22]
HireLayer:On request; no public Zapier app
RChilli:No Zapier app
HireLayer:On request; no public Make app
RChilli:No Make app found
HireLayer:On request; no AppExchange listing
RChilli:AppExchange managed package[25]
HireLayer:On request; no SAP Store listing
RChilli:SAP SuccessFactors Marketplace app announced in June 2025[26]
HireLayer:On request; no Workday Marketplace listing
RChilli:Listed as “Coming Soon”[1]
HireLayer:On request
RChilli:No connector; possible through the API
HireLayer:Public reference with cURL, Python and Node.js examples, field formats and every error code
HireLayer:REST · multipart file upload · synchronous JSON response
RChilli:REST POST with JSON body: base64 filedata, filename, userkey, version, subuserid[4]
HireLayer:One X-API-Key header for every API
RChilli:User key and sub-user id inside the request body[4]
HireLayer:Optional webhook_url on every parse; V2 callback-only contract still available
RChilli:For FTP bulk upload and email parsing; not for single REST calls[28]
HireLayer:One file per request; batch by running requests from your queue
RChilli:Drop files on FTP; JSON is posted to your webhook[7]
HireLayer:No official SDKs; cURL, Python and Node.js examples in the docs
RChilli:Sample code in six languages and a Postman collection[8]
HireLayer:Job text → weighted, CV-checkable criteria; labels are generated in French
HireLayer:Stateless: send job, candidate and criteria; get a status and explanation per criterion
HireLayer:Skills Matching API: up to 100 free-text skills per request against a catalog
RChilli:Taxonomy API, 0.3 credit per search; autocomplete add-on $500 / month[2]
HireLayer:Rank 1–10 candidates against one job in a single call
HireLayer:No hosted candidate index or search engine
RChilli:Separate search engine host with its own index key[10]
Cost per CV
RChilli publishes its full Standard plan ladder in US dollars. Because OCR documents cost an extra credit, the share of scanned CVs changes RChilli’s total; it does not change HireLayer’s.
CVs parsed per month
Share of scanned CVs
HireLayer
€89 / month
Scale plan · €0.045 per CV · ≈ $101 / month
RChilli
$221 / month
Annual plan · 30,000 credits, billed yearly · $0.11 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
With text-based CVs, HireLayer’s public plans cost less than RChilli’s cheapest matching plan up to about 10,000 CVs a month (€449 against $687.50 on an annual RChilli plan). At 50,000 a month RChilli’s annual ladder is cheaper than HireLayer’s public packs. Every scanned CV adds a credit on RChilli, so a high share of scans moves the break-even point in HireLayer’s favour.
RChilli published prices
Free trial$0 · 100 credits
One plan covers all products, features and plugins.
Standard, monthly$75 – 1,850 / month
500 to 83,333 credits a month. Quarterly plans use the same monthly rate.
Standard, annual$825 – 20,000 / year
6,000 to 1,000,000 credits a year.
EnterpriseOn quote
Dedicated server, on-premise hosting and premium support.
Billing rules
HireLayer published prices
1 successful API call = 1 credit across every API.
Enterprise volumes on quote. Prices from the HireLayer pricing page.
Analysis
The practical points an engineering team hits when replacing RChilli.
01
RChilli’s parseResumeBinary endpoint expects the whole file base64-encoded inside a JSON body, next to the user key, a sub-user id and a version string. Base64 adds about a third to the payload and puts the credential in the body, where proxies and request logs may capture it.
HireLayer’s parser takes the file as multipart form data and the key in an X-API-Key header. The trade-off: RChilli can also fetch a resume from a public URL, which HireLayer cannot.
02
RChilli supports bulk parsing by FTP: you place files on its server and receive one JSON payload per resume on your webhook. That suits a one-off migration of an old candidate database.
HireLayer has no bulk endpoint. You run one request per file from your own queue, which gives you control over retries and ordering but means you write that queue yourself.
03
RChilli’s ResumeParserData object is large: personal details, segregated experience and qualifications, a skill ontology, salary fields, a resume quality report and confidence scores. Dates are text (“July 2016”) and booleans such as IsCurrentEmployer arrive as strings, so most integrations write a normalization layer.
HireLayer’s V3 response is smaller and already normalized: ISO dates, a currently_active boolean, experience_duration in months, CEFR language levels and EQF education levels. It has no confidence scores and no CV quality report.
04
RChilli is moving toward AI agents inside Oracle HCM and SAP SuccessFactors and lists ISO 27001:2022, SOC 2 Type II and HIPAA. If you run one of those suites, RChilli plugs in where HireLayer would require custom code.
HireLayer targets teams that build their own recruiting product and call the API from their backend.
05
RChilli lets you pick a US, EU or Singapore region; its EU servers are in Frankfurt, Amsterdam, Zurich and London, and none is in France. Its standard parser uses RChilli’s own engine. The optional LLM Parser, still in beta, sends documents to OpenAI or to your own Azure OpenAI deployment, and the region of that processing is not documented.
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.
Which to choose
Both lists come from the comparison above. If most of your requirements sit in the right-hand column, stay where you are.
Stay with RChilli when…Switching
The request changes from base64 JSON to multipart, and the output mapping is larger because RChilli’s schema is broader and uses text dates.
Estimated effort
curl -X POST https://rest.rchilli.com/RChilliParser/Rchilli/parseResumeBinary \
-H "Content-Type: application/json" \
-d '{
"filedata": "<base64 of resume.pdf>",
"filename": "resume.pdf",
"userkey": "YOUR_USER_KEY",
"version": "8.0.0",
"subuserid": "YOUR_SUBUSER_ID"
}'curl -X POST https://onlineresumeparser.com/api/v3/parser \
-H "X-API-Key: YOUR_HIRELAYER_KEY" \
-F "[email protected]" \
-F "application_id=app_123"RChilli paths from its published response example; HireLayer paths from the V3 API reference.
| RChilli | HireLayer V3 |
|---|---|
| ResumeParserData.Name.FirstName / .LastName | info_candidate.first_name / .last_name |
| Email[0].EmailAddress | info_candidate.email |
| PhoneNumber[0].FormattedNumber | info_candidate.phone_number |
| Address[0].City / .CountryCode.IsoAlpha2 | info_candidate.location.city / .country_code |
| SegregatedExperience[].Employer.EmployerName | work_experiences[].company_name |
| SegregatedExperience[].JobProfile.Title | work_experiences[].job_title |
| SegregatedExperience[].StartDate | work_experiences[].start_date“July 2016” → 2016-07-01 |
| SegregatedExperience[].IsCurrentEmployer | work_experiences[].currently_activestring → boolean |
| SegregatedQualification[].Institution.Name | educations[].school_name |
| SegregatedQualification[].Degree.DegreeName | educations[].degree_title |
| SegregatedSkill[].Skill / .Type | skills[].skill_title / .skill_type |
| LanguageKnown[].Language | languages[].languageplus CEFR level |
| DetailResume | info_resume.text |
STEP 01
Stop encoding files
Send the file as multipart form data and move the key from the body to the X-API-Key header. There is no sub-user id or version parameter.
STEP 02
Simplify the normalization layer
Drop the code that turned text dates and string booleans into typed values; HireLayer returns ISO dates and booleans.
STEP 03
Replace bulk FTP
If you imported archives by FTP, push files through your own job queue and call the parser once per file, optionally with webhook_url.
STEP 04
Compare on your own files
Parse the same permissioned sample with both APIs and compare the fields you store before switching production traffic.
HireLayer CV Extract · Resume Parsing API
A trimmed V3 response for a nurse’s CV. Dates are ISO strings, currently_active is a boolean and each role carries its duration in months, so there is no text-date parser to maintain.
curl -X POST https://onlineresumeparser.com/api/v3/parser \
-H "X-API-Key: YOUR_API_KEY" \
-F "[email protected]" \
-F "application_id=req_7781"{
"status": "success",
"request_id": "req_01JA2D3KZ7M2W5H8B4R6N1C0QF",
"info_candidate": {
"full_name": "Sofia Marques",
"job_title": "Registered Nurse",
"experience_level": "5 to 10 years",
"driver_license": ["B"],
"location": { "city": "Bordeaux", "country_code": "FR", "postal_code": "33000" }
},
"work_experiences": [
{
"company_name": "CHU de Bordeaux",
"job_title": "Registered Nurse, Intensive Care",
"contract_type": "Permanent contract",
"start_date": "2019-09-02",
"end_date": null,
"currently_active": true,
"experience_duration": 72
},
{
"company_name": "Clinique Saint-Augustin",
"job_title": "Registered Nurse",
"contract_type": "Fixed-term contract",
"start_date": "2017-07-01",
"end_date": "2019-08-31",
"currently_active": false,
"experience_duration": 26
}
],
"skills": [
{
"skill_title": "Intensive care nursing",
"skill_type": "Hard skill",
"status": "normalized",
"domain": "Healthcare",
"subcategory": "Nursing"
}
],
"languages": [
{ "language": "Portuguese", "level": "Native or Bilingual (C2)" },
{ "language": "French", "level": "Full Professional Proficiency (C1)" }
]
}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.
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"
doneFAQ
HireLayer parses CVs in Paris, France, stores files and photos there and processes CV content with its in-house AI pipeline in the EU. RChilli offers US, EU and Singapore regions, with EU servers in Frankfurt, Amsterdam, Zurich and London, and its optional LLM Parser sends documents to OpenAI or your own Azure OpenAI deployment.
RChilli’s Standard plan starts at $75 a month for 500 credits, or $825 a year for 6,000. HireLayer’s Starter plan is €24 a month for 500 credits. A scanned CV costs 2 credits on RChilli and 1 on HireLayer. At very high volume, RChilli’s annual plans become cheaper than HireLayer’s public packs.
No. HireLayer parses one file per request. For a large import, queue the files on your side and call the parser for each one; you can pass webhook_url to receive results as callbacks.
No. HireLayer does not return field-level confidence scores. It returns a 422 error when a document is not a CV, unreadable, empty or too long, so that no empty profile is created.
Not as a marketplace app. HireLayer builds connectors for Salesforce, SAP SuccessFactors, Workday or other suites on request. RChilli already publishes apps on Salesforce AppExchange, the SAP SuccessFactors Marketplace and Oracle Cloud Marketplace.
There is no shared benchmark: RChilli does not publish a method for its figures and HireLayer has no published benchmark. Send the same permissioned CVs to both and score the fields you use.
Checked on 1 October 2026
RChilli 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.
RChilli and the other product names and logos on this page are trademarks of their respective owners, shown only to identify the products compared.
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