Recruiters spend a significant amount of time interviewing candidates, documenting conversations, preparing candidate summaries, updating hiring managers, and entering feedback into applicant tracking systems.
AI note-taking software can take much of that administrative work off their plates.
Instead of typing throughout an interview or trying to remember important details afterward, recruiters can use an AI note-taking app to automatically record, transcribe, summarize, and organize conversations. Some platforms go further by generating interview scorecards, identifying candidate qualifications, creating follow-up actions, and sending structured notes directly to an ATS.
However, recruitment interviews are different from ordinary business meetings. A good recruiter note-taking tool should do more than produce a generic meeting summary. It should help capture candidate experience, motivations, compensation expectations, availability, skills, responses to structured interview questions, and other information the hiring team needs.
Here are 10 of the best AI note-taking software and apps recruiters should consider in 2026.
1. Metaview
Best for: Recruitment-specific AI note-taking
Metaview is one of the strongest options for recruiters because the platform is designed specifically around recruiting conversations rather than general business meetings.
It can capture recruiter screens, hiring manager intake calls, candidate interviews, technical interviews, and hiring debriefs. More importantly, its AI can organize candidate information into recruiting-oriented notes instead of simply providing a chronological transcript.
Metaview supports structured candidate reports and can map interview information to competencies and scorecards. The platform also integrates with recruiting systems such as Greenhouse, Ashby, Lever, Bullhorn, Workable, and other ATS platforms. Metaview says its recruiting workflows can write structured candidate information back into the ATS, reducing the amount of manual data entry required after interviews.
This makes it particularly valuable for recruiters conducting multiple interviews every day.
Why recruiters may like Metaview: It understands recruiting terminology and interview workflows, offers structured rather than generic notes, supports ATS integrations, and can help standardize interview documentation across recruiters and hiring managers.
Potential limitation: Teams primarily looking for a universal AI assistant for internal meetings, sales calls, and other business conversations may find a general-purpose meeting assistant more flexible.
2. BrightHire
Best for: Enterprise interview intelligence
BrightHire combines AI note-taking with a broader interview intelligence platform.
During an interview, BrightHire can record and transcribe the conversation while producing AI-generated interview notes. Recruiters and hiring managers can then use those notes to complete candidate feedback and scorecards.
Its AI Interview Notes can be structured around competencies and ATS scorecard fields. BrightHire also supports candidate summaries, interview highlights, interview guides, and one-click scorecard workflows. Its integrations are designed to keep feedback connected to the candidate’s ATS record instead of leaving information inside a separate meeting-notes platform.
BrightHire is therefore more than a transcription tool. It is designed for organizations that want to analyze and improve the overall interview process.
Why recruiters may like BrightHire: Recruiting-specific AI notes, automated scorecards, candidate summaries, interview highlights, ATS integrations, and tools for improving interviewer consistency.
BrightHire also emphasizes consent, privacy, role-based access controls, GDPR compliance, and SOC 2 Type 2 certification, which can be important for organizations recording candidate interviews.
Potential limitation: The broader interview-intelligence functionality may be more than an individual recruiter or small recruiting agency needs.
3. Fireflies.ai
Best for: Recruitment automation and flexible integrations
Fireflies.ai is a general AI meeting assistant, but its expanding recruitment capabilities make it worth considering for recruiting teams.
Fireflies can record, transcribe, summarize, and analyze interviews. Recruiters can then use its AI features to turn transcripts into structured outputs rather than manually reading through an entire call.
For example, Fireflies offers recruiting-focused AI Skills for candidate and recruiter scorecards. Its recruiting workflows can also connect with platforms such as Greenhouse and Lever, while information can be sent to tools including Slack, Microsoft Teams, Google Docs, and Notion.
That flexibility makes Fireflies especially useful for teams that want AI note-taking across recruiting as well as client calls, internal meetings, business development, and other conversations.
Why recruiters may like Fireflies.ai: Automated transcription, meeting summaries, recruiting scorecards, searchable conversations, numerous integrations, and workflow automation.
Potential limitation: Although Fireflies provides recruiting-specific capabilities, its core platform is still designed to support many types of business meetings rather than recruitment alone.
4. Fathom
Best for: Individual recruiters and smaller recruiting teams
Fathom is a straightforward option for recruiters who want to stop manually taking notes without implementing a complex interview-intelligence system.
It works with Zoom, Google Meet, and Microsoft Teams and can generate transcripts, summaries, action items, and follow-up information.
Importantly for recruiters, Fathom includes a Candidate Interview AI summary template designed to capture areas such as a candidate’s experience, goals, and answers during an interview.
Recruiters can therefore focus on asking questions and building rapport instead of constantly switching between the interview and their notes.
Fathom’s free plan also includes unlimited recordings and transcriptions, although access to some advanced AI capabilities is limited compared with its paid plans.
Why recruiters may like Fathom: Easy setup, interview summary templates, automatic transcription, action-item extraction, and accessible options for individual users.
Potential limitation: Recruiting-specific ATS and scorecard workflows are not as extensive as those offered by platforms built specifically for hiring.
5. Read AI
Best for: Turning interviews into searchable recruiting intelligence
Read AI offers recruiters something beyond basic transcription: a searchable record of candidate conversations and interview activity.
Its recruiting use case focuses on generating notes during interviews so recruiters can concentrate on candidates. Meeting reports can then be shared with subsequent interviewers to help them understand what has already been discussed and determine which topics require further exploration.
Read AI can also help produce structured candidate summaries from interview transcripts. These summaries can give hiring teams a faster way to review candidate experience and important moments from previous conversations rather than relying on memory or scattered interview notes.
This becomes particularly helpful when a candidate goes through several rounds involving recruiters, hiring managers, technical interviewers, and executives.
Why recruiters may like Read AI: Candidate summaries, searchable interview history, post-meeting reports, conversation insights, and support for multi-stage interview processes.
Potential limitation: Recruiters should be thoughtful when interpreting automated engagement or sentiment signals. These should provide supplementary context rather than automatically determining whether a candidate moves forward.
6. tl;dv
Best for: Sharing candidate interview highlights
Recruiting decisions frequently involve people who were not present during the first interview.
tl;dv helps solve that problem by turning interviews into searchable recordings, transcripts, summaries, and short clips that recruiters can share with hiring managers.
The platform works with Google Meet, Microsoft Teams, and Zoom. Its recruiting functionality allows teams to summarize important candidate insights while keeping the full recording available for additional context.
Instead of asking a hiring manager to watch a 45-minute screening call, for example, a recruiter could share the sections where the candidate discusses leadership experience, salary expectations, or a particularly relevant project.
tl;dv also offers workflows connecting meeting information with Greenhouse, helping recruiting teams move interview information closer to their ATS workflow.
Why recruiters may like tl;dv: Shareable interview clips, AI summaries, searchable transcripts, asynchronous interview review, and support for major meeting platforms.
Potential limitation: Recruiters wanting advanced competency-based candidate evaluations may prefer a dedicated recruiting intelligence platform.
7. Otter.ai
Best for: Live interview transcription
Otter.ai remains a popular option when the primary requirement is reliable, searchable meeting documentation.
Otter Notetaker can automatically join meetings on Zoom, Google Meet, and Microsoft Teams after connecting with a Google or Microsoft calendar. It records and transcribes conversations and provides capabilities including live summaries, meeting summaries, automated slide capture, and AI-powered Q&A.
For recruiters, this can provide a useful transcript safety net. Rather than writing everything down during a candidate interview, the recruiter can concentrate on follow-up questions and review the transcript afterward.
Otter can also be useful for intake meetings with hiring managers, recruitment team meetings, agency-client conversations, and other situations where searchable documentation matters.
Why recruiters may like Otter.ai: Live transcription, automated meeting summaries, searchable transcripts, calendar integrations, collaborative notes, and AI Q&A.
Potential limitation: Otter is a general-purpose meeting platform, so recruiters may need to manually convert its meeting output into ATS scorecards or recruitment-specific candidate evaluations.
8. Avoma
Best for: Recruiters wanting customizable AI meeting notes
Avoma combines transcription, note-taking, scheduling, conversation intelligence, and meeting collaboration.
The platform automatically transcribes meetings and can organize AI-generated notes using customizable templates. It also supports Smart Chapters that divide conversations into important topics, follow-up email generation, and a searchable repository of previous meetings. Avoma currently advertises live transcription across more than 75 languages.
For recruiters, customizable templates are particularly useful because different recruiting conversations require different information.
A recruiter screen may need sections for salary expectations, availability, experience, and motivation, while a hiring manager intake meeting may need role requirements, must-have skills, interview stages, and sourcing criteria.
Why recruiters may like Avoma: Custom note templates, multilingual transcription, meeting search, collaboration tools, AI-generated follow-ups, and structured meeting summaries.
Potential limitation: Many of Avoma’s deeper workflow capabilities are designed with sales and revenue teams in mind, so recruiting teams should evaluate whether the platform matches their specific ATS processes.
9. Grain
Best for: Collaborative candidate review
Grain is particularly useful when recruiters need to share actual moments from an interview rather than only providing written feedback.
The platform can capture meetings and generate transcripts, AI notes, action items, and summaries. Recruiters can also create clips from specific portions of conversations and share them with colleagues. Grain supports both bot-based and botless capture options, depending on the meeting setup.
This can improve collaboration between recruiters and hiring managers.
For example, if a candidate gives an excellent explanation of a challenging engineering project, the recruiter can share that specific interview segment with the technical hiring manager instead of trying to summarize the candidate’s answer.
Grain has also documented recruiting teams using its clips and AI summaries to help hiring managers review candidate conversations.
Why recruiters may like Grain: Interview clips, transcripts, AI summaries, searchable recordings, sharing controls, action items, and collaborative review.
Potential limitation: Its strongest integrations and automation capabilities are not exclusively centered on ATS platforms.
10. Fellow
Best for: Structured interview and meeting workflows
Fellow is useful for recruiting teams that want AI note-taking alongside structured agendas, templates, action items, and collaborative meeting management.
Its AI Note Taker can record, transcribe, and summarize conversations. Fellow supports meetings across Google Meet, Zoom, Microsoft Teams, and Slack Huddles and says its transcription supports 93 languages.
Recruiters can also customize AI Note Templates, which determine how information from a meeting transcript is organized. This can help organizations create standardized interview documentation rather than allowing every interviewer to record feedback in a completely different format.
Fellow is especially useful when recruiting is only one of several meeting-heavy workflows within the organization.
Why recruiters may like Fellow: AI transcripts, customizable templates, collaborative agendas, action items, searchable meeting history, privacy controls, and integrations with other workplace platforms.
Potential limitation: Like several tools on this list, Fellow is primarily a broad meeting productivity platform rather than a dedicated recruiting solution.
What Should Recruiters Look for in an AI Note-taking App?
Choosing the right AI note-taking software should depend on how your recruiting team actually works.
For recruiters conducting dozens of candidate interviews every week, ATS integration should be one of the first things to evaluate. A good transcript is helpful, but requiring a recruiter to manually copy information into Greenhouse, Lever, Ashby, Bullhorn, or another ATS removes much of the efficiency gained through automation.
Recruiters should also evaluate whether the tool supports structured interview templates. Candidate screens, technical interviews, executive searches, hiring manager intake meetings, and reference checks all require different information.
Other important considerations include transcription accuracy, speaker identification, supported languages, integrations with Zoom, Teams and Google Meet, candidate consent workflows, permission controls, data-retention settings, and the ability to share relevant information without exposing unnecessary candidate data.
Recruiting-Specific vs. General AI Note Takers
One of the biggest decisions recruiters face is whether to choose a dedicated recruitment note-taking platform or a general AI meeting assistant.
Recruiting-focused tools such as Metaview and BrightHire are designed around candidate interviews, recruiting scorecards, ATS data, and structured hiring workflows.
General tools such as Otter, Fathom, Avoma, Grain, Read AI, and Fellow can be more versatile when recruiters also need to document hiring manager meetings, client discussions, internal meetings, and other conversations.
Neither approach is automatically right for every organization.
A staffing agency conducting large numbers of candidate screens may prioritize recruitment-specific automation and ATS integration. An independent recruiter conducting a smaller number of searches may prefer a simpler and more affordable meeting note-taking app.
Can AI Note-taking Improve Candidate Interviews?
Used appropriately, AI note-taking can make interviews easier to document while allowing recruiters to spend more time listening.
Recruiters traditionally face a difficult choice during interviews: maintain eye contact and stay engaged with the candidate, or continuously type notes to make sure important details are not forgotten.
Automated transcription reduces that trade-off.
AI-generated notes can also help standardize the information captured across candidates. However, recruiters should not treat an AI-generated summary or assessment as automatically accurate.
AI notes should be reviewed by the recruiter or interviewer before they are added to a candidate record or used during a hiring decision. Human judgment remains particularly important when interpreting a candidate’s abilities, experience, communication, and suitability for a role.
Privacy and Consent Matter When Recording Candidate Interviews
Recruitment conversations often contain personal and potentially sensitive information.
Before automatically recording or transcribing interviews, organizations should establish appropriate consent procedures and confirm that their practices comply with applicable recording, privacy, employment, and data-protection requirements.
Recruiters should also understand where recordings are stored, who can access them, how long they are retained, and whether information can be deleted when required.
AI note-taking should make recruitment more efficient without compromising candidate privacy.
Final Thoughts
AI note-taking is becoming less about simply creating transcripts and more about turning recruiting conversations into useful, structured information.
For recruiting teams that want deep ATS integration and interview-specific workflows, Metaview and BrightHire are strong platforms to investigate. Recruiters wanting a flexible meeting assistant can consider Fireflies.ai, Fathom, Read AI, tl;dv, Otter.ai, Avoma, Grain, or Fellow, depending on their collaboration and integration needs.
The most useful AI note-taking app is ultimately the one that removes administrative work without adding another disconnected system.
Look for a platform that fits naturally into your existing interview process, keeps candidate information appropriately protected, integrates with the systems your recruiters already use, and gives recruiters more time to do what AI cannot replace: understand candidates, build relationships, and make thoughtful hiring decisions.
Frequently Asked Questions
1. What is the best AI note-taking software for recruiters?
The best choice depends on the recruiting workflow. Metaview and BrightHire are particularly recruitment-focused, while Fireflies.ai offers flexible recruiting automation. Fathom, Otter, Read AI, tl;dv, Avoma, Grain, and Fellow are broader AI meeting assistants that can also work well for candidate interviews.
2. Can AI automatically take notes during candidate interviews?
Yes. AI note-taking tools can join or capture virtual interviews and automatically generate transcripts, summaries, highlights, and action items. Some recruiting-specific platforms can also organize candidate information according to interview competencies or ATS scorecards.
3. Can AI note takers integrate with an ATS?
Some can. Recruiting-oriented platforms such as Metaview and BrightHire provide deeper ATS integrations, while other tools may offer direct integrations, automation platforms, APIs, or manual workflows depending on the ATS being used.
4. Can recruiters use AI note-taking for phone interviews?
Some platforms support phone conversations or uploaded recordings in addition to Zoom, Google Meet, and Microsoft Teams. Recruiters should confirm supported call types before selecting a platform.
5. Should recruiters tell candidates that an interview is being recorded?
Recruiters should provide appropriate disclosure and obtain consent where required by company policy or applicable law. Recording and consent requirements vary by jurisdiction, so organizations should establish a compliant process before deploying automated interview recording.
6. Can AI replace recruiter interview notes completely?
AI can automate much of the transcription and first-draft note creation, but recruiters should still review the output. Candidate evaluation requires context and professional judgment that should not be delegated entirely to an automated system.
