HrFlow background
The HR-Native Search Engine for Profiles & Jobs

Searching API

The Searching API is a zero-config, fully hosted, and fully managed search engine built for modern AI-powered ATS, CRMs, candidate libraries, job boards, and internal mobility platforms. Powered by Hiring Superintelligence, it combines advanced DSL, typo tolerance, and HR semantics to deliver instant, hyper-relevant candidate and job results.

Read the Docs
<100ms response time
43+ languages
GDPR & EU AI Act
99.99% uptime
output.json
{
  "parsing": {
    "model": "hrflow-file-v2.1",
    "confidence": 0.92,
  },
  "profile": {
    "name": "John Smith",
    "title": "Data Scientist",
    "skills": ["ML", "Python"]
  }
}

Trusted by Customers, Partners & the AI Ecosystem

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API REQUEST

Basic Fields & Advanced DSL

Query profiles or jobs and get deterministic, ranked hits (JSON) with full pagination metadata (total, page, limit) to power modern UX (infinite scroll, facets), saved searches, and caching. Filter your single source of truth using keywords, geo-polygons, taxonomies, and advanced raw filters.

Select Searching Type

Query profiles → returns ranked Profile hits (JSON) + pagination metadata (total, page, limit, …).

Explore

API GuideAPI EndpointTry Live Demo

Top Query Fields

Keyword Search

full-text, fields, match behavior (exact/phrase), fuzziness/typo tolerance

Geo Search

address, geopoints, radius (geo_distance), geo-polygons, multi-location logic

Ranges

numeric and date filters (gte/lte/gt/lt), etc.

Taxonomies

tags_included, tags_excluded, facets/aggregations

Pagination & Sorting

index (source/board), page, limit, sort_by, order_by

Raw Filters (Advanced DSL)

boolean logic (must/should/filter/must_not), query clauses (match, match_phrase, range, exists…), nested paths, operators/tuning (minimum_should_match, boosts, score modes)

response.json
 1{
 2  "code": 200,
 3  "message": "Search completed in 42ms.",
 4  "meta": {
 5    "page": 1,
 6    "limit": 10,
 7    "total": 2384
 8  },
 9  "data": [
10    {
11      "profile": {
12        "key": "abc123",
13        "info": {
14          "first_name": "Sarah",
15          "last_name": "Chen",
16          "location": "San Francisco, CA"
17        },
18        "skills": ["Python", "ML", "NLP"],
19        "experiences_duration": 7.2
20      },
21      "score": 0.94
22    },
23    {
24      "profile": {
25        "key": "def456",
26        "info": {
27          "first_name": "James",
28          "last_name": "Park",
29          "location": "New York, NY"
30        },
31        "skills": ["Data Science", "PyTorch"],
32        "experiences_duration": 5.1
33      },
34      "score": 0.87
35    }
36  ]
37}
CUSTOMER STORIES

Don't take our word for it!

Trusted by fast-growing HR Tech and Global Enterprise

“

No more slow/broken results

vs. SQL LIKE
Before HrFlow.ai

SQL LIKE was too slow and too brittle for recruiting search. It missed relevant candidates on typos, wording variations, and HR synonyms.

After HrFlow.ai

HrFlow.ai Searching gave us instant, ranked results with built-in typo tolerance and HR-native query understanding, so recruiters could find the right profiles in seconds.

“

No more DevOps burden

vs. Elasticsearch
Before HrFlow.ai

Elasticsearch gave us endless search infrastructure work: cluster management, shard sizing, mapping updates, and reindexing whenever our data model changed.

After HrFlow.ai

HrFlow.ai Searching delivered the same modern search UX in a zero-config API, without the DevOps burden. We stopped maintaining search engines and started shipping faster.

“

43+ languages, consistent behavior

vs. Sphinx
Before HrFlow.ai

Sphinx made multilingual search operationally heavy. We had to think in analyzers, per-language settings, and unstable relevance from one market to another.

After HrFlow.ai

HrFlow.ai Searching replaced that with fast, accurate search across 43+ languages and consistent behavior out of the box, without the maintenance burden.

“

No more slow/broken results

vs. SQL LIKE
Before HrFlow.ai

SQL LIKE was too slow and too brittle for recruiting search. It missed relevant candidates on typos, wording variations, and HR synonyms.

After HrFlow.ai

HrFlow.ai Searching gave us instant, ranked results with built-in typo tolerance and HR-native query understanding, so recruiters could find the right profiles in seconds.

“

No more DevOps burden

vs. Elasticsearch
Before HrFlow.ai

Elasticsearch gave us endless search infrastructure work: cluster management, shard sizing, mapping updates, and reindexing whenever our data model changed.

After HrFlow.ai

HrFlow.ai Searching delivered the same modern search UX in a zero-config API, without the DevOps burden. We stopped maintaining search engines and started shipping faster.

“

43+ languages, consistent behavior

vs. Sphinx
Before HrFlow.ai

Sphinx made multilingual search operationally heavy. We had to think in analyzers, per-language settings, and unstable relevance from one market to another.

After HrFlow.ai

HrFlow.ai Searching replaced that with fast, accurate search across 43+ languages and consistent behavior out of the box, without the maintenance burden.

“

No more slow/broken results

vs. SQL LIKE
Before HrFlow.ai

SQL LIKE was too slow and too brittle for recruiting search. It missed relevant candidates on typos, wording variations, and HR synonyms.

After HrFlow.ai

HrFlow.ai Searching gave us instant, ranked results with built-in typo tolerance and HR-native query understanding, so recruiters could find the right profiles in seconds.

“

No more DevOps burden

vs. Elasticsearch
Before HrFlow.ai

Elasticsearch gave us endless search infrastructure work: cluster management, shard sizing, mapping updates, and reindexing whenever our data model changed.

After HrFlow.ai

HrFlow.ai Searching delivered the same modern search UX in a zero-config API, without the DevOps burden. We stopped maintaining search engines and started shipping faster.

“

43+ languages, consistent behavior

vs. Sphinx
Before HrFlow.ai

Sphinx made multilingual search operationally heavy. We had to think in analyzers, per-language settings, and unstable relevance from one market to another.

After HrFlow.ai

HrFlow.ai Searching replaced that with fast, accurate search across 43+ languages and consistent behavior out of the box, without the maintenance burden.

“

No more slow/broken results

vs. SQL LIKE
Before HrFlow.ai

SQL LIKE was too slow and too brittle for recruiting search. It missed relevant candidates on typos, wording variations, and HR synonyms.

After HrFlow.ai

HrFlow.ai Searching gave us instant, ranked results with built-in typo tolerance and HR-native query understanding, so recruiters could find the right profiles in seconds.

“

No more DevOps burden

vs. Elasticsearch
Before HrFlow.ai

Elasticsearch gave us endless search infrastructure work: cluster management, shard sizing, mapping updates, and reindexing whenever our data model changed.

After HrFlow.ai

HrFlow.ai Searching delivered the same modern search UX in a zero-config API, without the DevOps burden. We stopped maintaining search engines and started shipping faster.

“

43+ languages, consistent behavior

vs. Sphinx
Before HrFlow.ai

Sphinx made multilingual search operationally heavy. We had to think in analyzers, per-language settings, and unstable relevance from one market to another.

After HrFlow.ai

HrFlow.ai Searching replaced that with fast, accurate search across 43+ languages and consistent behavior out of the box, without the maintenance burden.

“

True nested search, not flat records

vs. Algolia
Before HrFlow.ai

We outgrew Algolia because we couldn’t do true nested search—like matching company = ‘Google’ and years of experience ≥ 3 within the same experience entry.

After HrFlow.ai

HrFlow.ai Searching supports nested queries, so the profile structure is respected, and results are finally correct.

“

HR vocabulary out of the box

vs. Meilisearch
Before HrFlow.ai

We were stuck maintaining synonym lists in Meilisearch to handle HR-specific terminology and equivalents.

After HrFlow.ai

HrFlow.ai Searching understands HR terms and equivalents natively.

“

Typos handled automatically

vs. Solr
Before HrFlow.ai

On Solr, typos created empty result pages and frustrated recruiters searching for candidates.

After HrFlow.ai

HrFlow.ai Searching has typo correction built in, so results stay relevant.

“

True nested search, not flat records

vs. Algolia
Before HrFlow.ai

We outgrew Algolia because we couldn’t do true nested search—like matching company = ‘Google’ and years of experience ≥ 3 within the same experience entry.

After HrFlow.ai

HrFlow.ai Searching supports nested queries, so the profile structure is respected, and results are finally correct.

“

HR vocabulary out of the box

vs. Meilisearch
Before HrFlow.ai

We were stuck maintaining synonym lists in Meilisearch to handle HR-specific terminology and equivalents.

After HrFlow.ai

HrFlow.ai Searching understands HR terms and equivalents natively.

“

Typos handled automatically

vs. Solr
Before HrFlow.ai

On Solr, typos created empty result pages and frustrated recruiters searching for candidates.

After HrFlow.ai

HrFlow.ai Searching has typo correction built in, so results stay relevant.

“

True nested search, not flat records

vs. Algolia
Before HrFlow.ai

We outgrew Algolia because we couldn’t do true nested search—like matching company = ‘Google’ and years of experience ≥ 3 within the same experience entry.

After HrFlow.ai

HrFlow.ai Searching supports nested queries, so the profile structure is respected, and results are finally correct.

“

HR vocabulary out of the box

vs. Meilisearch
Before HrFlow.ai

We were stuck maintaining synonym lists in Meilisearch to handle HR-specific terminology and equivalents.

After HrFlow.ai

HrFlow.ai Searching understands HR terms and equivalents natively.

“

Typos handled automatically

vs. Solr
Before HrFlow.ai

On Solr, typos created empty result pages and frustrated recruiters searching for candidates.

After HrFlow.ai

HrFlow.ai Searching has typo correction built in, so results stay relevant.

“

True nested search, not flat records

vs. Algolia
Before HrFlow.ai

We outgrew Algolia because we couldn’t do true nested search—like matching company = ‘Google’ and years of experience ≥ 3 within the same experience entry.

After HrFlow.ai

HrFlow.ai Searching supports nested queries, so the profile structure is respected, and results are finally correct.

“

HR vocabulary out of the box

vs. Meilisearch
Before HrFlow.ai

We were stuck maintaining synonym lists in Meilisearch to handle HR-specific terminology and equivalents.

After HrFlow.ai

HrFlow.ai Searching understands HR terms and equivalents natively.

“

Typos handled automatically

vs. Solr
Before HrFlow.ai

On Solr, typos created empty result pages and frustrated recruiters searching for candidates.

After HrFlow.ai

HrFlow.ai Searching has typo correction built in, so results stay relevant.

🔗 INTEGRATIONS

Works with the tools you use

Integrate thousands of tools and hundreds of HR systems with a flip of a switch.

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HrFlow.ai Data Studio

HrFlow.ai Data Studio

HR-native ETL with 200+ connectors plus Webhooks to ingest, normalize, and sync jobs & profiles across your stack, reliable pipelines with unified schemas.

Zapier ETL

Zapier ETL

No-code automation platform with 8,000+ app integrations to move data between tools using triggers + actions.

Make.com ETL

Make.com ETL

Visual automation platform to extract/transform/route data across 3,000+ apps (plus HTTP modules for any API).

Microsoft Flow ETL

Microsoft Flow ETL

Microsoft Power Automate, workflow automation with 1,000+ API connectors (and support for custom connectors).

Workato ETL

Workato ETL

Enterprise iPaaS/automation platform with 1,200+ pre-built connectors for orchestrating integrations and data workflows at scale.

Salesforce Flow Automation

Salesforce Flow Automation

Salesforce's low-code workflow automation tool; extended via AppExchange with 7,000+ apps to add integrations and capabilities.

🚀 KEY FEATURES

Apache Lucene Rebuilt for HR Data

HrFlow.ai Searching is a fully hosted and managed fork of Apache Lucene (the engine behind Elasticsearch/Solr), rebuilt for HR data: multilingual tokenization (43+ languages), HR-native analyzers (normalization + bigrams/trigrams + lexical ranking), built-in HR synonyms/semantic handling, and an optimized vectorizer (upgraded beyond TF-IDF/BM25) + ranking stack for profile/job intent.

Tutorial Video3:45

🔒 ENTERPRISE-READY

Trust & Security

Built for sensitive HR data, secure by default, enterprise-ready.

01

Encryption

TLS in transit + encryption at rest to protect documents and extracted data.

02

Retention control

Minimal storage by default, with configurable retention policies to match your compliance needs.

03

AI-Act / GDPR / DPA ready

AI-Act & GDPR-ready processing and Data Processing Agreement (DPA) are available on request.

04

Location / Region

Data processing and storage can be aligned with your required region (e.g., EU or US) depending on your deployment.

Visit Trust Center→
📊 FEATURE COMPARISON

HrFlow.ai Searching is the Most Relevant Search Engine for HR Data

Feature
HrFlow.ai Searching
HrFlow.ai Searching
Algolia
Algolia
Meilisearch
Meilisearch
Elasticsearch
Elasticsearch
Apache Solr
Apache Solr
Deployment & Trust
Headquarters
🇫🇷 France
🇫🇷 France
🇫🇷 France
🇺🇸 USA
🇺🇸 USA
🇺🇸 USA & 🇪🇺 EU Servers
Built-in
Built-in
Built-in
Built-in
config
GDPR / AI-Act
By design
By design
By design
config
config
HR Compliance (Safety & Guardrails)
Built-in
config
config
config
config
HR-Focused
Pricing model
Record-based
Request-based
Server-based
Server-based
Server-based
DevOps burden (production scale)
Lowest
Medium
Medium
High
High
Deployment model
Managed API/SaaS
Managed SaaS
Self-host / managed
Self-host / managed
Self-host / managed
Core Technology
Keyword search (lexical ranking)
Built-in
Built-in
Built-in
Built-in
Built-in
Facets/aggregations (filter UI)
Built-in
Built-in
Built-in
Built-in
Built-in
Numeric + date range filters (gte/lte)
Built-in
Built-in
Built-in
Built-in
Built-in
Geo search (radius/polygon/shapes)
Built-in
Built-in
Built-in
Built-in
Built-in
Typo tolerance
Built-in
Built-in
Built-in
Config
Config
Normalization (case-folding)
Built-in
Built-in
Built-in
Config
Config
Normalization (diacritics folding)
Built-in
Built-in
Built-in
Config
Config
Multilingual tokenization/analysis
Built-in
Built-in
Built-in
Config
Config
Punctuation & token boundary control
Built-in (HR-tuned)
Built-in
Built-in
Config
Config
Hybrid ranking (keyword + vector)
Built-in
Built-in
Built-in
Config
Config
HR Semantic
Built-in (Linking API)
Config
Config
Config
Config
Vector search (kNN / embeddings)
Built-in (HR-tuned)
Config
Config
Config
Config
Zero-config (no mappings/analyzers/shards)
Built-in
Config
Config
Not supported
Not supported
Advanced query DSL (bool / nested / raw clauses)
Built-in
Not supported
Not supported
Built-in
Built-in
HR Stack integrations (add-ons)
Resume, CV, Job parsers
Built-in (Parsing API)
Job deduplication
Built-in (Jobcurator lib)
HR data enrichment & taxonomies
Built-in (Linking/Tagging/Asking APIs)
Jobboards / ATS / HCM / HRIS connectors
200+ HR connectors (Data Studio)
Candidate & Recruiter UI
Widgets (App Studio)
❓ COMMON QUESTIONS

Frequently Asked Questions

Everything you need to know about the Searching API

🧩 COMPLETE API SUITE

Go beyond the Searching API

Our APIs are designed to complement each other and unlock your data's full potential

Full Extraction API Suite

Transform HR documents into structured, enriched Talent & Workforce Data — powering every layer of Hiring Intelligence.

API Overview
94%82%71%58%

Ranking API Suite

Unlock Hiring Superintelligence at scale — with transparent, fair, and explainable ranking across every Talent signal.

API Overview

GET STARTED

Ready to transform your HR data?

Start parsing resumes and job postings in minutes with our powerful API.

Start for free→Talk to sales

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform.

The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market.

The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

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