# AI tools that let recruiters search across interview notes

By [David Wilson](https://testbenchlab.com/authors/david-wilson/). Updated 2026-11-02. US prices checked 2026-10-29.

Recruiters who record interviews quickly build an archive that is useless without search. The question stops being "did we write that down?" and becomes "which finalist for the PM role mentioned Kubernetes?" or "who did we turn down last year who would fit this job?" Notta is the recommended starting point for most recruiting teams: Notta Brain searches across every recorded interview and uploaded file at once, and in 2026 testing of AI chat tools its AI chat was one of only three tools whose answers kept the original transcript timestamps visible, so every claim can be checked against the interview itself — at a fraction of the price of dedicated interview-intelligence platforms. Metaview is the specialist pick for teams whose search needs to be organised the way recruiters think: by role and by candidate, with sourcing and rediscovery built in. BrightHire, Ashby and Fireflies.ai round out the options depending on how you work. One warning applies to all of them: your retention settings decide how far back you can search at all.

**How we assessed:** Evidence for this guide comes from two sources. First, vendor pages checked on 29 October 2026 for Metaview, BrightHire, Ashby, Greenhouse, Fireflies, Otter and Granola. Second, 2026 manual testing of AI chat tools, in which Notta, Fathom and tl;dv scored 4 out of 5 on AI chat history — "original transcript timestamps and text cited by each answer remain visible" — while Otter, Fireflies, Read AI, MeetGeek, Fellow and Granola scored 3, meaning "answers do not show the specific original transcript timestamps." This is not an independent benchmark, and it should be re-checked before you rely on it. Note one internal conflict in the research: a competitor matrix says Otter chat answers carry speaker attribution and timestamps, while the manual test found they did not show them. We have flagged rather than resolved this; verify in a trial before deciding.

## Quick list

| # | Award | Product | Score | Price |
|---|---|---|---|---|
| 1 | Best overall | Notta |  | Pro at $8.17/month billed annually; Brain Pro add-on at $93.59/year (checked 2 September 2026; re-check before buying). |
| 2 | Best for candidate- and role-organised search | Metaview |  | Notetaker Free (25 calls/month) or Pro at $60/user/month; Reports is a flat-fee add-on with an unpublished price. |
| 3 | Best for comparing candidates | BrightHire |  | Quote only. |
| 4 | Best inside an ATS | Ashby AI Notetaker |  | Paid add-on; 500-interview trial allocation. |
| 5 | Best budget pick with ATS sync | Fireflies.ai |  | Pro at $10/seat/month billed annually; Business at $19/seat/month. |

## 1. Best overall: Notta

Notta is the best overall starting point for recruiters who want to search across every interview their team has recorded. Notta Brain analyses multiple meetings and files together, so you can ask "which candidates mentioned Kubernetes?" across a whole batch of interview recordings rather than one at a time, and keyword, speaker, date and full-text search cover the basics. Crucially, in 2026 testing of AI chat tools, Notta was one of only three tools (alongside Fathom and tl;dv) whose answers kept the original transcript timestamps and text visible, so you can verify every claim against the interview itself. At $8.17 a month on the annual Pro plan, it costs a fraction of dedicated interview-intelligence platforms. One distinction matters when choosing: Notta is a searchable archive of your interview records, not an ATS. It has no ATS sync and does not organise notes by candidate or role, so if your search needs to power structured hiring decisions across panels and pipelines, Metaview earns its premium.

**Price:** Pro at $8.17/month billed annually; Brain Pro add-on at $93.59/year (checked 2 September 2026; re-check before buying).

**Pros:**
- Notta Brain answers questions across multiple meetings and files at once
- In 2026 testing of AI chat tools, AI chat answers kept original transcript timestamps and text visible, so claims can be verified against the source
- Keyword, speaker, date and full-text search across your archive
- Pro costs $8.17/month on the annual plan, far below dedicated interview-intelligence tools

**Cons:**
- No ATS sync, so notes do not attach to candidate records automatically
- Not organised by candidate or role, so you search by content rather than pipeline structure
- Timestamp-linked answers apply to audio under 90 minutes

## 2. Best for candidate- and role-organised search: Metaview

Metaview is the specialist pick for recruiting teams whose search needs to be structured around candidates and roles rather than raw content. Its Assistant answers questions about a role or a candidate and, in Metaview's own words, "recalls exact moments" from the conversations behind the answer. Reports lets you filter conversations and ask AI questions across them, and its sourcing agent searches past Metaview interviews alongside your ATS profiles and the web from a single prompt. If your team records dozens of interviews a week and wants search organised the way recruiters actually think, Metaview is the most complete option — at a price to match.

**Price:** Notetaker Free (25 calls/month) or Pro at $60/user/month; Reports is a flat-fee add-on with an unpublished price.

**Pros:**
- Assistant answers questions about a role or candidate and points to the exact moments they came from
- Reports filters conversations and runs AI questions across them
- Sourcing agent searches past Metaview interviews, ATS profiles and the web in one prompt
- Free Notetaker tier with 25 calls per month lets you test the search before paying

**Cons:**
- Pro plan costs $60 per user per month, significantly more than general note takers
- Reports is a flat-fee add-on with no published price
- Assistant questions are not metered, but pricing complexity makes budgeting harder

## 3. Best for comparing candidates: BrightHire

BrightHire shines when the question is comparative: "what did each panel say about this candidate versus the other finalists?" Its AI chat assistant works on any candidate at every tier, while the Teams tier adds side-by-side candidate comparisons, interview topic coverage and a rediscovery agent for finding past candidates worth revisiting. If your hiring process runs on structured panels and you need to justify decisions side by side, BrightHire is built for exactly that.

**Pros:**
- AI chat assistant available on any candidate at all tiers
- Side-by-side candidate comparisons and interview topic coverage on the Teams tier
- Rediscovery agent for surfacing past candidates for new roles

**Cons:**
- Quote-only pricing makes comparison shopping harder
- The comparison and rediscovery features that justify the price sit on the Teams tier

## 4. Best inside an ATS: Ashby AI Notetaker

Ashby's AI Notetaker is the pick if your search should span everything the ATS already knows about a candidate. Its AI Candidate Assistant queries a candidate's transcripts, resumes, emails and feedback together, so an answer can draw on the interview and the follow-up correspondence in one response. Retention rules are configurable per data type, which matters if your retention policy distinguishes recordings from written feedback.

**Price:** Paid add-on; 500-interview trial allocation.

**Pros:**
- AI Candidate Assistant searches transcripts, resumes, emails and feedback together
- Retention rules configurable per data type
- Trial allocation of 500 interviews to evaluate before committing

**Cons:**
- Paid add-on on top of Ashby's ATS, so it only makes sense if you already run Ashby
- Answers are scoped to a single candidate rather than your whole archive

## 5. Best budget pick with ATS sync: Fireflies.ai

Fireflies.ai is the cheapest way to get cross-meeting search and ATS integrations in one package. Its global smart search and AskFred AI assistant work across your meeting history, and its list of ATS integrations means notes can flow into the tools your recruiters already use. The catch, from 2026 manual testing of AI chat tools: Fireflies answers did not show the specific original transcript timestamps, so verifying an answer means hunting for the source yourself. For teams that prioritise ATS connectivity over cited answers, it is a sensible budget choice.

**Price:** Pro at $10/seat/month billed annually; Business at $19/seat/month.

**Pros:**
- Global smart search and AskFred AI assistant across meeting history
- ATS integrations listed, unlike most general note takers
- Pro at $10/seat/month annual is inexpensive for cross-meeting AI search

**Cons:**
- In 2026 testing of AI chat tools, AI chat answers did not show original transcript timestamps
- Not organised by candidate or role
- Business tier at $19/seat/month narrows the price gap with stronger tools

## Also considered

- [Greenhouse Notetaker](https://www.greenhouse.com/product-features/greenhouse-notetaker): Searches within a transcript and jumps to timestamps, but cross-candidate search is not documented and admins can cap Notetaker data retention at up to 60 days, which limits how far back you can search. Included in Core, Plus and Pro plans.
- [Otter.ai](https://otter.ai/pricing): AI Chat works within and across meetings, and Greenhouse connectivity is available via Zapier. Business costs $19.99/user/month annual. In 2026 manual testing of AI chat tools, Otter's answers did not show the specific original transcript timestamps.
- [Gem](https://www.gem.com/): Offers ATS/CRM talent rediscovery, but the depth of its interview-note search is unverified and pricing was not published at the time of checking.
- Employ AI Interview Companion: An interview-intelligence option worth a look for teams already evaluating the category; we did not verify its cross-interview search in detail for this guide.
- [Granola](https://granola.ai/pricing): Meeting memory and Granola Chat search across meetings, but the Basic plan keeps only 30 days of history, and its answers were not confirmed to cite transcript timestamps in 2026 testing of AI chat tools.

## How we chose

We judged each tool on five criteria that decide whether searching your interview archive actually works in practice: the kinds of search it supports (keyword search, AI chat with cited answers, and candidate rediscovery across past roles); whether AI answers cite the transcript moments they came from; the scope of a search (one candidate, one role, or your entire history); retention defaults, which cap how far back you can search at all; and access controls for who can query sensitive interview data. Vendor pages were checked on 29 October 2026. For general-purpose note takers, we relied on manual testing of AI chat tools, including a 2026 test of whether answers keep original transcript timestamps visible. Pricing is in USD as published by each vendor and should be re-checked before purchase.

## Which tools can search every interview your team has recorded?

Notta is our recommended starting point for most teams, while Metaview and BrightHire are the dedicated interview-intelligence options for search that must be organised by candidate and role. The table below shows what each pick actually searches, because "search" means three different things depending on the tool.

| Tool | Keyword search | AI chat | Rediscovery | Cites transcript moments | Scope |
|---|---|---|---|---|---|
| Notta | Yes (keyword, speaker, date, full-text) | Yes (Brain across meetings and files) | No | Yes, in 2026 testing | All meetings and uploaded files |
| Metaview | Yes | Yes (Assistant, Reports) | Yes (sourcing agent) | Yes — "recalls exact moments" | Role, candidate, past interviews + ATS |
| BrightHire | Yes | Yes (AI chat assistant) | Yes (Teams tier) | Yes | Candidate-by-candidate, side-by-side |
| Ashby AI Notetaker | Yes | Yes (AI Candidate Assistant) | Within ATS | Not documented | One candidate's transcripts, resumes, emails, feedback |
| Fireflies.ai | Yes (global smart search) | Yes (AskFred) | No | No, in 2026 testing | All meetings |

The scope column matters as much as the features. Notta and Fireflies search across everything you have recorded, which is powerful and keeps the whole archive queryable in one place. Metaview and BrightHire organise search around roles and candidates, which mirrors how recruiters think — the trade-off is a significantly higher price. Neither approach is strictly better: it depends on whether your team needs pipeline structure or a complete, verifiable record of everything said.

## Keyword search, AI chat or rediscovery: what's the difference?

Keyword search is the simplest and most trustworthy: you type "Kubernetes" and the tool returns every interview that contains the word, with the moments it appears. Notta's keyword, speaker, date and full-text search works this way, as does Fireflies' global smart search. It is fast and verifiable, but it only finds what you can name.

AI chat lets you ask a question instead of a keyword: "Which finalists for the PM role mentioned Kubernetes?" Notta Brain, Metaview's Assistant, BrightHire's chat assistant, Ashby's AI Candidate Assistant, Otter AI Chat and Fireflies' AskFred all do this. The quality difference is whether the answer shows you where it came from — covered in the next section.

Rediscovery is the recruiting-specific version: "who did we turn down last year who would fit this job?" Metaview's sourcing agent searches past Metaview interviews alongside your ATS profiles and the web from one prompt, and BrightHire's rediscovery agent does the same on its Teams tier. Gem also plays in this space, though we have not verified its interview-search depth. General note takers, including Notta, do not do rediscovery because they do not structure notes by candidate or role — that is a structural difference in how the tools are built, not a gap in their search capability.

## Do the answers show where in the interview they came from?

Only some tools do, and you should insist on it. An AI answer that says "the candidate expressed concerns about the compensation band" is close to useless in a hiring decision if you cannot click through to the moment they said it — both for fairness to the candidate and for defending the decision later.

In 2026 manual testing of AI chat tools, Notta, Fathom and tl;dv scored 4 out of 5, meaning "original transcript timestamps and text cited by each answer remain visible." Otter, Fireflies, Read AI, MeetGeek, Fellow and Granola scored 3: "answers do not show the specific original transcript timestamps." Metaview's Assistant is documented to "recall exact moments" about a role or candidate, and Greenhouse Notetaker supports search within a transcript with jumps to timestamps. This testing is not an independent benchmark, so re-check any tool you are serious about in a trial — but if cited answers are a hard requirement for your hiring process, Notta and Metaview are the picks here with the strongest evidence.

## How far back can you search?

As far as your retention setting allows — and no further. This is the constraint that quietly ruins archive search: a tool can only answer questions about interviews it still holds.

Greenhouse lets admins keep Notetaker data for up to 60 days, which means a question like "who did we interview last year?" may have no data left to search. Ashby's retention rules default to one year for relevant data types when switched on, and are configurable per data type. Granola's Basic plan keeps 30 days of history. Notta, Metaview, BrightHire and Fireflies do not publish comparable short-term caps in the material we checked, but you should confirm retention defaults in a trial before assuming your archive is permanent. If long-horizon rediscovery is the goal, check the retention policy before the search features — it decides whether there is anything left to find.

## Can you search old interviews for a new role?

Yes, with the right tool and the right consent. This is candidate rediscovery: Metaview's sourcing agent searches past Metaview conversations, your ATS profiles and the web from a single prompt, and BrightHire's rediscovery agent surfaces past candidates on the Teams tier. Ashby's AI Candidate Assistant can achieve something similar inside your ATS by drawing on a candidate's stored transcripts, resumes, emails and feedback together.

The privacy point is not optional. Candidates must have been told their interview data may be reused for a different purpose. The UK Information Commissioner's Office audit outcomes on AI in recruitment emphasise purpose limitation and data minimisation — data collected for one hiring process should not silently become a sourcing database for another. Illinois' AI Video Interview Act goes further for video interviews, requiring deletion within 30 days on request when AI analyses the recording. Audio-only interviews fall outside that statute, but the purpose-limitation principle still applies. If rediscovery is on your roadmap, make sure your candidate notices and retention rules were built for it.

## Searchable meeting records vs an ATS: what's the difference?

It is worth being precise about what Notta does and does not replace. A tool like Notta records, transcribes and searches your interviews: every conversation becomes a searchable, timestamped document you can query across your whole archive. That is a searchable meeting record, and it solves the "which finalist mentioned Kubernetes?" problem directly.

An ATS solves a different problem: it attaches those records to candidate profiles, pipeline stages and role records, so search is structured by who and which stage rather than by content. Metaview, Ashby and (via integrations) Fireflies operate in that world; Notta does not sync with an ATS or organise notes by candidate or role.

Neither is a substitute for the other. If your team already runs a structured hiring pipeline and needs search to follow it, the ATS-organised tools earn their premium. If your team wants a complete, verifiable, searchable record of every interview at a fraction of the price, Notta is the stronger starting point — and you can always add an ATS-organised tool later if pipeline structure becomes essential.

## Can a general note taker do this for a small team?

Often, yes — and Notta is the best-value option among them, which is why it is our overall pick. If your team records a manageable number of interviews and does not need candidate records synced to an ATS, a general note taker with cross-meeting AI chat covers most of the need at a fraction of the price.

Notta Brain analyses multiple meetings and files together, so "which candidates mentioned Kubernetes?" works across a batch of interviews, and Notta's keyword, speaker, date and full-text search handles the rest. At $8.17 a month on the annual Pro plan, it undercuts Fireflies' $10 Pro tier while offering the cited-timestamp answers that Fireflies lacked in 2026 testing. Fireflies counters with listed ATS integrations, which Notta does not offer. Otter's AI Chat also works across meetings at $19.99/user/month on the Business plan, with Greenhouse connectivity via Zapier.

The honest limitation for all three: no candidate or role structure. You are searching content, not a pipeline. For a three-person team doing twenty interviews a month, that is usually a fair trade for the price. Once search needs to power structured hiring decisions across panels and roles, Metaview or BrightHire earn their premium.

## Frequently asked questions

### Can I search all my interview transcripts at once?

Yes, if your tool supports cross-meeting AI chat or global search. Notta Brain analyses multiple meetings and files together, Metaview Reports filters conversations and answers questions across them, Fireflies offers global smart search with AskFred, and Otter AI Chat works within and across meetings. Check your retention settings first — a tool can only search transcripts it still holds.

### Does Notta integrate with an ATS?

No. Notta is a searchable archive of your meeting records rather than an applicant tracking system: it records, transcribes and searches your interviews, with AI chat answers that cite the original transcript moments, but your notes stay organised by content rather than by candidate or role. If ATS sync is essential to your workflow, Metaview, Ashby or Fireflies are better fits.

### What is candidate rediscovery?

Candidate rediscovery means searching past interviews and ATS records to find candidates who were previously rejected or declined but might fit a new role. Metaview's sourcing agent searches past Metaview interviews, ATS profiles and the web from one prompt, and BrightHire offers a rediscovery agent on its Teams tier. Remember that candidates must have been told their data may be reused for this purpose.

### Does Greenhouse let you search interview transcripts?

Greenhouse Notetaker supports search within a transcript and jumps to timestamps, but cross-candidate search across multiple transcripts is not documented. Admins can also cap Notetaker data retention at up to 60 days, which limits how far back any search can reach.

### Is it legal to reuse old interview notes for a different job?

It depends on what candidates were told and your local rules. The UK ICO's audit outcomes on AI in recruitment emphasise purpose limitation — data collected for one hiring process should not be reused for another without a lawful basis and appropriate notice. Illinois' AI Video Interview Act requires deletion within 30 days on request when AI analyses video interviews, though it does not cover audio-only recordings. Check your candidate notices and retention policies before treating old interviews as a sourcing database.

### Which AI note taker cites the transcript in its answers?

In 2026 manual testing of AI chat tools, Notta, Fathom and tl;dv kept the original transcript timestamps and text cited by each AI answer visible, while Otter, Fireflies, Read AI, MeetGeek, Fellow and Granola did not show them. Metaview's Assistant is documented to recall exact moments. This testing is not an independent benchmark, so verify in a trial before committing.

## Related reading

- [The best AI interview note takers for hiring teams](https://testbenchlab.com/best/ai-interview-note-takers-for-hiring-teams/)
- [What to compare in AI interview note-taking tools](https://testbenchlab.com/guides/choosing-ai-interview-note-taking-tools/)
- [AI tools to search and compare past customer calls](https://testbenchlab.com/best/ai-tools-to-search-past-customer-calls/)
- [AI meeting tools that let you search past meetings](https://testbenchlab.com/best/ai-tools-to-search-past-meetings/)
- [AI tools that compare multiple interview transcripts](https://testbenchlab.com/best/ai-tools-to-compare-interview-transcripts/)
- [Why speaker identification matters in interview transcripts](https://testbenchlab.com/guides/why-speaker-identification-matters/)

## Sources

1. [Metaview Assistant](https://www.metaview.ai/assistant) — Metaview; vendor page; checked 29 October 2026
2. [Metaview Reports](https://www.metaview.ai/reports) — Metaview; vendor page; checked 29 October 2026
3. [Rediscover talent across your ATS](https://www.metaview.ai/resources/blog/rediscover-talent-ats) — Metaview; vendor page; checked 29 October 2026
4. [BrightHire pricing](https://brighthire.com/pricing/) — BrightHire; vendor page; checked 29 October 2026
5. [AI Notetaker add-on](https://www.ashbyhq.com/add-ons/ai-notetaker) — Ashby; vendor page; checked 29 October 2026
6. [Greenhouse Notetaker](https://www.greenhouse.com/product-features/greenhouse-notetaker) — Greenhouse; vendor page; checked 29 October 2026
7. [Granola pricing](https://granola.ai/pricing) — Granola; vendor page; checked 29 October 2026
8. [Notta pricing page and AI chat tool testing](https://www.notta.ai/en/pricing) — Notta; vendor research; checked 2 September 2026
9. [Metaview vs BrightHire (2026)](https://www.socialtalent.com/compare/metaview-vs-brighthire) — SocialTalent; comparison; published 28 July 2026
10. [AI tools in recruitment: audit outcomes](https://ico.org.uk/media2/migrated/4031620/ai-in-recruitment-outcomes-report.pdf) — UK Information Commissioner's Office; regulator report; published 6 November 2024
11. [Artificial Intelligence Video Interview Act](https://www.ilga.gov/Legislation/ILCS/Articles?ActID=4015&ChapterID=68&Print=True) — Illinois General Assembly; statute; published 2020