Otter.ai vs Fireflies for Recruiting and Interview Notes

Recruiters live in interviews, and the notes you scribble mid-conversation are rarely the notes you wish you had when the hiring panel debriefs three days later. An AI notetaker that transcribes the call, labels who said what, and drops a clean summary into your applicant tracking system (ATS) can shave hours off every requisition while keeping your scorecards evidence-based instead of memory-based. This guide compares Otter.ai and Fireflies specifically for talent teams capturing candidate interview notes, with an eye on ATS sync, speaker identification, and sharing with hiring managers.

Quick comparison

Otter.ai for recruiting

Otter.ai is a strong fit when your interviews already run through Zoom, Google Meet, or Microsoft Teams and your notes need to land somewhere your team already looks, such as Slack or a CRM. Its OtterPilot joins the call, produces a live transcript you can watch scroll during the conversation, and generates an AI summary with action items the moment the interview ends. Speaker identification is available on every plan, including the free tier, so a panel transcript is broken out by voice rather than delivered as an undifferentiated wall of text. For recruiters, the live transcript is genuinely useful: you can stay present with the candidate instead of typing, then trust the record to catch the exact phrasing of a competency answer.

Strengths for talent work include fast, readable output, easy shareable links, keyword search across your transcript library, and unlimited cloud storage on paid plans so your interview archive does not get purged. The 2026 addition of customizable meeting templates lets you shape summaries toward a scorecard-style structure rather than a generic recap.

The real limit for recruiters is integration depth. Otter.ai has no native ATS connector. It integrates well with Salesforce and HubSpot and offers 50+ connections plus Zapier, so pushing a summary into Greenhouse or Lever means building a Zapier automation yourself and maintaining it. There is no out-of-the-box concept of a candidate profile. The free plan also caps you at 300 minutes per month, which a busy recruiter burns through in a handful of interviews, and some advanced controls sit behind Business and Enterprise tiers.

Price: Free plan includes 300 monthly transcription minutes. Pro runs about $8.33 per user per month billed annually (roughly $16.99 month-to-month), and Business is about $19.99 per user per month annually (around $30 month-to-month). Enterprise is custom-quoted.

Fireflies for recruiting

Fireflies is built more explicitly around structured post-meeting workflows, and for recruiting the standout is native ATS integration. Fireflies connects directly to both Greenhouse and Lever, automatically sending interview transcripts, AI summaries, and action items to the matching candidate profile. If the candidate does not already exist in the ATS, Fireflies can create the record and map notes to it, though you can toggle auto-creation off to keep your pipeline clean. That means the debrief notes live where the hiring team already reviews candidates, not in a separate transcription app they have to remember to open.

Strengths for talent teams include unlimited transcription and unlimited AI summaries on paid plans, so high-volume phone screens do not rack up per-meeting charges. Summaries extract topics, decisions, and action items, and Fireflies markets recruiting-specific features like intro-call scorecards and interview screeners. Speaker recognition handles multi-participant panels, and support spans 100+ languages with automatic detection, which helps on global req loads. Sharing is straightforward: push to the candidate profile, drop the recap in a Slack channel, or share a link with the panel.

The real limits are worth flagging. Native ATS sync sits on higher tiers, and Fireflies layers on storage caps and consumable AI credits that can add cost as usage grows. On privacy, Fireflies faced a 2025 lawsuit alleging improper biometric data collection from meetings; the company states it does not create or store voiceprints and that its transcription vendors return generic speaker labels, but recruiting leaders in regulated states should review this with legal before rollout. Retention timelines are also loosely defined, though private storage and bring-your-own-storage options exist on higher plans.

Price: Free plan available. Pro is $10 per seat per month billed annually (up to about $18 month-to-month), Business is $19 per seat per month annually (up to about $29 month-to-month), and Enterprise is $39 per seat per month, annual billing only.

Which should a recruiter pick?

For most talent teams whose interviews and scorecards live inside Greenhouse or Lever, Fireflies is the more natural fit because it closes the loop automatically, dropping structured notes onto the candidate record without a Zapier layer to maintain. Otter.ai wins when your workflow is lighter or CRM-centric, or when you want the best live-transcript experience during the call and are comfortable routing notes manually. Both transcribe accurately on clean audio and both handle panel speaker ID; the deciding factor is almost always where the notes need to end up.

• Pick Fireflies if you run high interview volume through Greenhouse or Lever and want transcripts and summaries auto-attached to candidate profiles with minimal manual work.
• Pick Otter.ai if your stack centers on Slack, Salesforce, or HubSpot, you value a strong in-call live transcript, or you want a lower-friction free tier to trial before committing.

FAQ

Do I need candidate consent to record interviews? Yes, in practice you should. Many jurisdictions require one-party or all-party consent to record, and biometric-privacy laws in states like Illinois add further obligations. Announce recording at the start of every interview, note consent, and follow your legal team's policy regardless of which tool you use.

How long is my interview data retained? Otter.ai offers unlimited cloud storage on paid plans, so transcripts persist until you delete them. Fireflies is less specific on timelines, deleting data when it deems it no longer needed or on request, and offers private or bring-your-own-storage options on higher tiers. Set an internal deletion policy so candidate data does not linger indefinitely.

How accurate are they on candidate accents? Both perform well on clear audio and standard accents, and Fireflies supports 100+ languages with automatic detection, which helps on diverse pipelines. Accuracy still drops with heavy accents, crosstalk, or poor microphones, so encourage candidates onto stable connections and spot-check the transcript against key answers before relying on a quote in a scorecard.