This page breaks down HrFlow.ai ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand HrFlow.ai’s overall reputation. This data-driven overview will show you exactly how HrFlow.ai is rated - including how it compares to competitors.

HrFlow.ai's Overall Rating Summary

  • Average Rating:4.6/5
  • Total Reviews:20 reviews
  • Sources:G2, Capterra, Facebook
  • Last updated:September 1, 2025

HrFlow.ai Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
0/5
0+ reviews14.08.24
Capterra logoCapterra
4.8/5
18+ reviews01.09.25
Facebook logoFacebook
3/5
2+ reviews01.09.25

What is HrFlow.ai?

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform, helping over 1000 customers including HR software vendors, staffing agencies, and large employers. The platform offers a suite of HR data processing products such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API, along with a catalog of over 200 connectors to automate business logic. It enables users to unify, unleash, and orchestrate talent data, leveraging AI to thrive in a high-frequency labor market.

🤔 HrFlow.ai vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is HrFlow.ai?

According to Capterra review site HrFlow.ai holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.

How many stars is HrFlow.ai rated?

HrFlow.ai has an average star rating of 4.6 out of 5 stars based on average of 20 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from HrFlow.ai public reviews pages on platforms: G2, Capterra, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for HrFlow.ai is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.