Recruiters spend a significant part of their working day in conversations. Candidate screens, hiring-manager intake calls, interviews, debriefs, reference checks, and internal meetings can generate hours of information every week.

The problem is that taking detailed notes while conducting a good interview is difficult. Recruiters need to listen carefully, ask follow-up questions, evaluate responses, and create a positive candidate experience at the same time.

AI note-taking software can remove much of that administrative work.

Modern AI note-taking apps can record recruiting conversations, generate transcripts, summarize candidate responses, identify action items, create interview notes, and, in some cases, transfer structured information directly into an applicant tracking system (ATS).

Recruiting-specific platforms can go even further by organizing notes around interview competencies, preparing scorecards, and helping hiring teams review candidate evidence consistently.

Below are 10 of the best AI note-taking software and apps recruiters should consider in 2026.

Best AI Note-taking Software for Recruiters at a Glance

AI Note-taking Tool	Best For	Key Recruiting Strength
Metaview	Recruiting teams	Recruiting-specific interview notes and ATS workflows
BrightHire	Structured hiring teams	Interview intelligence and scorecard automation
Fireflies.ai	Recruiting and staffing teams	Flexible meeting automation and integrations
Fathom	Individual recruiters	Simple AI interview summaries
Otter.ai	Live transcription	Real-time transcripts and searchable conversations
tl;dv	Interview recordings	Highlights, transcripts, and candidate interview sharing
Read AI	Recruiting analytics	Interview recaps, search, and conversation insights
Avoma	Recruiting agencies	Notes, templates, follow-ups, and conversation management
Grain	Collaborative hiring teams	Shareable candidate clips and customizable notes
Krisp	Remote interviews	AI notes combined with noise cancellation

1. Metaview

Best for: Recruiting-specific AI interview notes

Metaview is one of the most specialized options available for recruiters because its AI note-taking functionality is designed around hiring conversations rather than ordinary business meetings.

The software records and transcribes recruiting conversations before turning them into structured interview notes. Recruiters can use it across recruiter screens, hiring-manager intake calls, technical interviews, debriefs, and other stages of the recruitment process.

A major advantage is the ability to organize notes around hiring criteria instead of receiving only a generic meeting summary. Metaview can also work with recruiting systems including Greenhouse, Ashby, Lever, Workable, Teamtailor, and other ATS platforms.

For recruiters managing multiple candidates every day, this can reduce the amount of time spent transferring notes from interviews into candidate records.

Key features

• AI-generated recruiting and interview notes
• Interview transcription
• Recruiting-specific note templates
• Structured candidate information
• Interview rubric support
• ATS integrations
• Multi-language support
• Searchable recruiting conversations
• Hiring and interview analytics

Metaview is particularly useful when interview notes need to become part of a structured hiring workflow rather than simply being stored as transcripts.

Why recruiters may like it: It is purpose-built for talent acquisition, so recruiters spend less time adapting a general meeting tool to recruiting.

2. BrightHire

Best for: Structured interviews and automated scorecards

BrightHire combines AI note-taking with a broader interview intelligence platform.

Instead of producing only a transcript, BrightHire can structure interview notes around competencies established by the hiring team. Its AI-generated notes can also be mapped to ATS scorecard fields, allowing interviewers to review and submit feedback with significantly less manual work.

This makes BrightHire especially relevant for organizations that conduct structured interviews and want hiring managers and interviewers to document candidate feedback consistently.

The platform supports integrations with applicant tracking systems such as Greenhouse, Lever, Ashby, and Workday.

BrightHire also offers BrightHire Screen, an AI interviewer for structured first-round candidate screening. This extends the platform beyond note-taking into interview automation.

Key features

• AI interview notes
• Interview recording and transcription
• Customized note templates
• Competency-based interview notes
• ATS scorecard drafting
• Candidate summaries
• Interview highlights
• Interview guides
• Interview quality insights
• AI-assisted candidate screening

Why recruiters may like it: BrightHire can connect interview documentation directly with structured hiring and evaluation processes.

3. Fireflies.ai

Best for: Flexible recruiting automation

Fireflies.ai is a versatile AI meeting assistant that can be used across candidate interviews, client conversations, internal meetings, intake calls, and other recruiting activities.

It records meetings, produces transcripts and summaries, and provides AI-powered workflows for analyzing conversations.

Fireflies has also expanded its recruiting functionality. Its platform supports recruiting workflows and integrations with tools such as ATS, CRM, project management, and collaboration platforms.

Recruiters can use customizable AI workflows to extract specific information from interviews, such as candidate experience, motivations, availability, qualifications, or next steps.

For staffing and recruitment agencies, Fireflies can be particularly useful because the same platform can document both candidate-side and client-side conversations.

Key features

• AI meeting transcription
• Interview summaries
• Searchable transcripts
• Custom AI workflows
• Automated action items
• Meeting recordings
• Conversation search
• ATS and CRM integrations
• Collaboration integrations
• Recruiting workflow support

Fireflies also supports a broad range of integrations, making it easier to move information from conversations into other recruiting systems.

Why recruiters may like it: It works across more than interviews, making it useful for recruiters who need one note-taking tool for candidate, client, and internal calls.

4. Fathom

Best for: Individual recruiters who want simple AI notes

Fathom is a straightforward AI meeting note-taking tool for recruiters who primarily want to stop manually documenting every interview.

It can record meetings, generate transcripts, create summaries, identify action items, and prepare follow-up information.

Importantly for hiring teams, Fathom includes a Candidate Interview summary option designed to capture information about a candidate’s experience, goals, and interview responses.

This makes it more useful for recruiting than meeting tools that only provide a generic summary.

Key features

• Meeting recording
• Automatic transcription
• AI-generated interview summaries
• Candidate Interview summary format
• Action item detection
• Follow-up email drafts
• Searchable meeting history
• Team collaboration
• Multiple summary formats

Fathom does not provide the same depth of ATS-oriented recruiting workflows as tools such as Metaview or BrightHire. However, recruiters who want an easy way to capture interviews without adding a complicated recruiting platform may find it a practical option.

Why recruiters may like it: It provides an accessible way to introduce AI note-taking into interviews without rebuilding the entire recruiting tech stack.

5. Otter.ai

Best for: Real-time interview transcription

Otter.ai is one of the most established AI transcription and meeting note applications.

Recruiters can connect their calendar and allow Otter to join supported Zoom, Google Meet, and Microsoft Teams meetings. The platform can create notes, generate summaries, identify action items, and maintain a searchable transcript of the conversation.

Live transcription can be particularly useful during recruiter screens. Instead of trying to type every important candidate response, recruiters can concentrate on the conversation while still having a searchable record afterward.

Otter also supports AI-powered questions about meeting content. Recruiters can use this functionality to retrieve important information from a longer interview without manually reviewing the entire transcript.

Key features

• Live transcription
• AI meeting summaries
• Automated action items
• Meeting recording
• Calendar integration
• Searchable transcripts
• AI chat
• Collaborative notes
• Slide capture

Otter is primarily a general-purpose meeting assistant rather than a recruiting-specific platform. Therefore, recruiters may still need to transfer or restructure candidate information for their ATS.

Why recruiters may like it: Strong transcription and search functionality make it useful when maintaining a detailed record of candidate conversations is the priority.

6. tl;dv

Best for: Recording and sharing candidate interviews

tl;dv helps recruiters record, transcribe, summarize, and share candidate interviews.

Its recruiting solution supports Google Meet, Microsoft Teams, and Zoom and can turn candidate interviews into recordings, transcripts, AI-generated summaries, and shareable moments.

This can be particularly useful for collaborative hiring.

For example, instead of asking a department head to watch an entire 45-minute candidate interview, recruiters can share relevant moments or interview highlights.

tl;dv also provides customizable AI meeting-note templates. Recruiters can instruct the system to focus on information relevant to their hiring process rather than receiving identical notes for every type of conversation.

The platform also offers workflows connecting interview notes with systems such as Greenhouse.

Key features

• Interview recording
• AI transcripts
• AI meeting notes
• Custom note templates
• Interview highlights
• Shareable clips
• Multi-meeting insights
• CRM and workflow integrations
• Greenhouse workflows

Why recruiters may like it: Hiring managers can quickly review the most relevant sections of an interview instead of sitting through the entire recording.

7. Read AI

Best for: Interview insights and searchable recruiting conversations

Read AI goes beyond basic note-taking by combining meeting summaries with conversation analytics and search functionality.

Read has a dedicated recruiting use case designed to help recruiters document interviews, prepare future interviewers, and analyze candidate interactions. Recruiters can receive post-interview reports containing notes and other conversation insights.

The platform can automatically create meeting summaries, identify key discussion points and action items, and maintain transcripts for Zoom, Google Meet, Microsoft Teams, and other meeting environments.

Its broader search capabilities can also help users retrieve information from previous meetings and connected workplace systems.

Key features

• AI interview notes
• Meeting summaries
• Transcripts
• Action items
• Meeting playback
• Conversation search
• Topic discovery
• Meeting analytics
• Engagement insights
• Recruiting-specific workflows

For talent teams running many interviews, searchable meeting intelligence can become valuable when reviewing previous candidate discussions or preparing other interviewers.

Why recruiters may like it: Read AI combines note-taking with broader conversation intelligence rather than treating each interview as an isolated transcript.

8. Avoma

Best for: Recruitment agencies managing candidate and client calls

Recruitment agencies often need AI note-taking for more than candidate interviews.

Recruiters may spend the same day conducting a candidate screening call, discussing a vacancy with a client, completing an intake meeting, and holding an internal pipeline review.

Avoma can support these broader conversation workflows.

Its AI Meeting Assistant can automatically record meetings, create real-time transcripts, produce AI-generated notes using custom templates, identify meeting sections, create follow-up emails, and allow users to query conversation content with AI.

Custom templates are particularly useful because recruiters can create different note structures for different call types.

For example:

• Candidate screening template
• Hiring-manager intake template
• Client vacancy briefing
• Candidate submission review
• Recruitment pipeline meeting

Key features

• AI-generated meeting notes
• Custom note templates
• Automatic transcription
• Meeting recordings
• AI-generated follow-up emails
• Conversation search
• AI assistant
• Calendar integration
• CRM workflows

Avoma is not exclusively a recruiting platform, so talent teams looking for ATS scorecard automation may prefer a specialized solution. However, recruitment agencies that manage both candidate and business-development conversations may appreciate the flexibility.

Why recruiters may like it: One system can document several types of conversations across the recruitment agency workflow.

9. Grain

Best for: Sharing candidate interview moments with hiring teams

Grain combines AI note-taking with powerful tools for capturing and sharing important moments from meetings.

The platform can automatically generate meeting summaries and action items while allowing users to create notes and clips connected to specific moments in a transcript.

This functionality can be particularly helpful during collaborative hiring.

A recruiter could highlight a candidate’s response to an important technical or leadership question and share that particular section with a hiring manager rather than forwarding an entire recording.

Grain also supports customizable note templates. Recruiters could create templates that instruct the AI to consistently extract qualifications, challenges, motivations, candidate questions, availability, or follow-up actions.

Its AI assistant can also answer questions about captured conversations.

Key features

• AI-generated notes
• Transcription
• Meeting recordings
• Custom note templates
• Action items
• Video clips
• Meeting highlights
• AI meeting search
• Collaboration tools
• Meeting integrations

Why recruiters may like it: Grain makes it easy to turn long candidate interviews into smaller pieces of evidence that hiring teams can review quickly.

10. Krisp

Best for: Remote interviews and improving call clarity

Krisp is somewhat different from the other AI note-taking apps on this list because it combines meeting documentation with its well-known audio enhancement technology.

Its AI Meeting Assistant can capture conversations, create transcripts, generate summaries, identify action items, and store meeting information for later review.

Krisp also provides noise cancellation, which may be particularly useful for recruiters conducting remote interviews throughout the day.

Poor audio quality can affect both the candidate experience and transcription accuracy. Having noise reduction and AI notes in the same application can therefore simplify remote interview workflows.

Krisp also supports meeting note templates, AI chat, calendar connections, integrations, and transcription functionality for online and in-person conversations.

Key features

• AI meeting notes
• Transcription
• Meeting summaries
• Action items
• Meeting recording
• Noise cancellation
• Speaker-aware transcripts
• AI chat
• Meeting templates
• Collaboration tools

Why recruiters may like it: It addresses two common remote-interview problems at once: documenting the conversation and improving audio quality.

Why Should Recruiters Use AI Note-taking Software?

AI note-taking is not simply about replacing a notebook.

Used properly, these tools can improve several parts of the recruitment process.

1. Recruiters can focus on candidates

Constantly switching between listening and typing can make interviews feel less conversational.

Automated notes allow recruiters to spend more time listening, maintaining eye contact, and asking relevant follow-up questions.

2. Interview feedback can be completed faster

One of the biggest recruiting bottlenecks is often what happens after the interview.

Interviewers finish the call, move to another meeting, and postpone completing their scorecard.

AI-generated interview notes give recruiters and hiring managers a detailed starting point immediately after the conversation.

3. Hiring teams get better interview documentation

Human notes are inconsistent.

One interviewer may write several paragraphs while another leaves three short bullet points.

Structured AI notes can help teams maintain a more consistent record, although human review should remain part of the process.

4. Candidate information becomes easier to search

Instead of searching through documents or relying on memory, recruiters can search transcripts for specific topics such as:

• Salary expectations
• Notice period
• Technical experience
• Leadership examples
• Location preferences
• Motivation for changing jobs
• Candidate questions
• Availability
• Specific skills

This is particularly useful when recruiters conduct several interviews for similar roles.

5. Hiring managers can review interviews faster

Recorded interviews and shareable clips can make collaboration easier.

Instead of scheduling another debrief just to discuss one candidate response, recruiters can share the relevant section with the decision-maker.

How to Choose the Best AI Note-taking App for Recruiting

The most advanced AI meeting assistant is not automatically the best recruiting tool.

Recruiters should evaluate software based on how closely it fits their actual hiring workflow.

1. Look for recruiting-specific notes

A generic summary may say:

“Candidate discussed previous experience, current responsibilities, and future career goals.”

That information is not particularly actionable.

A useful recruiting summary should be able to separate details such as skills, experience, compensation expectations, motivation, availability, competencies, and follow-up items.

2. Check your ATS integration

If recruiters still have to copy every summary manually into the ATS, some of the efficiency gained from AI note-taking disappears.

Teams using platforms such as Greenhouse, Lever, Ashby, Workday, Bullhorn, or similar recruiting systems should investigate how deeply the note-taking software integrates with their existing workflow.

3. Consider interview scorecards

Structured hiring teams should look for tools that can organize notes according to their interview questions or evaluation criteria.

The AI should support interviewers—not replace their judgment.

4. Review recording and consent controls

Job interviews can contain sensitive personal information.

Before recording or transcribing candidate conversations, employers should determine what notice or consent is required under applicable laws and organizational policies.

Recruiters should also review:

• Data retention policies
• User permissions
• Candidate consent workflows
• Security certifications
• Recording controls
• Data processing practices
• AI training policies

Requirements vary by jurisdiction, so organizations should establish an approved process before deploying interview-recording technology broadly.

5. Test transcription with real recruiting conversations

Recruiting conversations frequently contain:

• Company names
• Technical terminology
• Job titles
• Product names
• Industry abbreviations
• International names
• Different accents

Testing the software with representative interviews is therefore more useful than relying solely on a generic transcription demo.

AI Note-taking Software vs. Recruiting Interview Intelligence Software

Although the categories overlap, there is an important difference.

AI note-taking software primarily captures conversations and produces transcripts, summaries, highlights, and action items.

Examples include tools such as Fathom, Otter.ai, Krisp, and Grain.

Interview intelligence software adds recruiting-specific functionality around the conversation.

It may connect interview responses to competencies, create candidate summaries, prepare scorecards, analyze interview quality, and synchronize structured information with the ATS.

Platforms such as Metaview and BrightHire sit closer to this category.

For an individual recruiter conducting a few interviews each week, a general AI notetaker may be sufficient.

For a larger talent acquisition organization conducting hundreds or thousands of interviews, recruiting-specific interview intelligence may provide substantially more value.

Frequently Asked Questions About AI Note-taking for Recruiters

1. What is an AI note-taking tool for recruiters?

An AI note-taking tool automatically captures and organizes information from recruiting conversations. Depending on the software, it may record an interview, create a transcript, summarize candidate responses, identify action items, prepare structured interview notes, or send information to an ATS.

2. What is the best AI note-taking software for recruiters?

There is no single option that fits every recruiting organization.

Metaview and BrightHire are particularly focused on recruiting and structured interviewing, while tools such as Fireflies.ai, Fathom, Otter.ai, tl;dv, Read AI, Grain, Avoma, and Krisp provide broader meeting-assistant functionality that recruiters can adapt to their workflows.

The right choice depends on interview volume, ATS requirements, team size, privacy requirements, and how much recruiting-specific automation is needed.

3. Can AI take notes during candidate interviews?

Yes. AI note-taking software can record or process candidate interviews and create transcripts and summaries automatically.

Recruiters should still review AI-generated notes before using them for hiring decisions because transcription and summarization systems can misinterpret statements or omit important context.

4. Can AI interview notes automatically update an ATS?

Some recruiting-focused platforms support this.

The depth of integration varies significantly. Some tools can add a general meeting summary to a candidate record, while more specialized recruiting platforms can map information into structured interview or scorecard fields.

Always check support for your specific ATS before choosing a platform.

5. Are AI note-taking tools safe for recruitment?

They can be used responsibly, but recruitment teams need appropriate privacy, security, and consent processes.

Candidate interviews may contain personal or confidential information. Employers should understand where recordings are stored, how long information is retained, who can access it, and whether candidate consent or notification is required.

6. Should recruiters let AI evaluate candidates?

AI can help organize interview information, identify relevant passages, and structure notes, but hiring decisions should not be made solely from an automated summary or score.

Recruiters and hiring managers should review the underlying evidence and apply appropriate human judgment, particularly when AI-generated outputs affect employment decisions.

Final Thoughts

AI note-taking software is quickly becoming a practical part of the recruiting technology stack.

The biggest benefit is not simply receiving a transcript after an interview. The real opportunity is turning candidate conversations into organized, accessible information without forcing recruiters to spend each interview typing notes.

Recruiting-specific platforms such as Metaview and BrightHire provide deeper support for structured interviews, candidate feedback, ATS workflows, and scorecards. Fireflies.ai, Fathom, Otter.ai, tl;dv, Read AI, Avoma, Grain, and Krisp provide different combinations of transcription, summarization, collaboration, search, and meeting automation.

When evaluating these platforms, recruiters should focus on the entire workflow: how the interview is captured, how candidate information is structured, where those notes go afterward, how easily other interviewers can access them, and how candidate data is protected.

The best AI note-taking app is ultimately the one that reduces administrative work while allowing recruiters to spend more of the interview doing what matters most—listening to and engaging with the candidate.