AI note-takers for recruiters

Read AI produces a meeting report rather than a set of notes. Alongside the transcript and summary it measures engagement and sentiment, breaks the dialogue out by speaker, and shows an in-meeting dashboard while the call is still running. Whether that is insight or noise depends entirely on what you are trying to do with it.

Coverage is a strength. Twenty-six languages are enumerated for meeting reports, and in-person meetings, live events and mobile capture are all documented rather than implied. The one documented limit is mixed-language meetings, which the vendor says are not fully supported and may produce inconsistent results.

The thing to weigh is location. On privacy it sits in the middle, honestly documented. Data is stored encrypted in an Amazon data centre in Northern Virginia, with other locations available only by arrangement through the sales team. Retention is genuinely in the user's hands: you choose whether audio and video are saved for playback, and if you decline, nothing beyond what is needed to produce the report is retained. Premium integrations covering Salesforce, HubSpot and webhooks sit on a paid tier.

Fireflies sends a recorder into the meeting and gets out of the way. It can be invited to a single call or set to join everything on your calendar, and once it is running the output lands wherever you have pointed it — a chat channel, a CRM record, or another system through the API.

What makes it worth a close look is where the paywall sits. Unlimited transcription, unlimited summaries, live notes, meeting search, the assistant that answers questions about past calls, and API access are all on the free plan. The cap is storage rather than usage: four hundred minutes of recordings for the whole team, after which older meetings have to be deleted to make room. Paid tiers raise that and add integrations, conversation analytics and administrative controls.

The thing to weigh is what happens to the data afterwards. The vendor states that meeting data never feeds AI model training and describes a zero-day retention arrangement with its own vendors. It holds SOC 2 Type II and GDPR, and HIPAA with a business associate agreement on the enterprise tier. Custom data retention is an advanced-tier control rather than a default.

Tactiq works as a browser extension rather than a participant or an application. It reads the live captions your meeting platform is already producing, which is why the transcript appears in real time and why nothing shows up in the participant list. It also explains the product's most unusual piece of documentation.

Because it depends on the platform's own speech recognition, what Tactiq can transcribe varies by where you are meeting. The vendor publishes a separate language list for Google Meet, Microsoft Teams and Zoom rather than one list for the product. That is more honest than a single headline number, and it is worth checking the list for the platform your team actually uses rather than the aggregate.

The cost is volume and dependence. The free plan allows ten transcripts a month with five AI credits, which makes it a genuine trial rather than a running tool. Pro lifts transcripts to unlimited, team tiers add sharing and centralised administration, and data retention controls arrive on Business. A HubSpot connection is documented as a self-serve setup with no plan requirement stated.

Otter has been doing this longer than almost anything else in the category, and it shows in the parts that are hard to rush: the live transcript is genuinely usable while a meeting is running, speaker identification is on the free plan, and chat that reaches across past meetings is too.

Two things deserve care before choosing it. The first is languages. Otter transcribes English, Spanish, French, German, Japanese and Chinese, and nothing else — its help centre answers a direct question about Portuguese with a flat no. For a team that meets in one of those six that is irrelevant; for anyone else it rules the product out entirely, and the figure is easy to miss because the marketing does not lead with it.

The thing to weigh is training. The vendor states that it de-identifies user data before using it to train its own models, while separately confirming that its AI service providers do not train on customer content. Both statements are true and they answer different questions. Retention is a thirty-day trash bin rather than a configurable policy, and the API arrives only on the enterprise tier.

tl;dv is built in Europe and it shows in the choices it offers. The security page states that customers can choose whether their AI is hosted in Europe or the United States, that the company is GDPR-compliant for all users, and that no customer data is used to train the AI models it works with. Those three together answer most of what a procurement review asks about privacy before it is asked.

The product itself is organised around clips. Rather than producing one summary and leaving you to scroll a transcript, it is designed for cutting the useful ninety seconds out of an hour and passing it on. That suits recruiting, user research and sales review more than it suits a weekly team call.

The catch is disclosure rather than capability. The free plan carries unlimited transcription in over thirty languages, with recordings deleted after three months. Paid tiers add custom note templates, search across the whole transcript archive, an API with webhooks and an MCP server, and CRM field mapping. The language count is advertised rather than enumerated: the vendor's own language page reads as marketing, offering coverage "from Portuguese to Mexican", and Mexican is not a language.

Grain is aimed at teams who go back over their calls — sales coaching, customer research, anything where the recording gets watched rather than filed. The free plan carries the AI notepad with live notes, a running transcript and clip creation, which is the part of the product people actually use day to day.

Integrations are where the tiers bite. Slack delivery, a personal Zapier connection and a personal API arrive on the starter tier; HubSpot and Salesforce, workspace-level Zapier and a workspace API wait until business. That is a conventional ladder, and worth mapping against how many people will actually need the CRM connection.

The cost is not the product but what you can find out about it. Documentation is the weak point rather than the product. Grain holds a SOC 2 Type II report, released through a trust centre request rather than published, and hosts all of its software in Amazon facilities in the United States. Its support centre refuses anonymous readers entirely, so the language question could not be answered at all — an absence of access rather than of capability.

Bluedot records without putting a participant in your meeting, and leads with privacy in its own marketing. That combination is becoming less rare, but the way it draws its pricing tiers still is.

Bluedot draws its tiers the other way round from the usual arrangement. Slack, Notion, Zapier and Make connections are on the free plan, while custom note templates wait until Pro and CRM and applicant-tracking integrations until Business. If your bottleneck is getting notes in front of a team rather than shaping how they read, that is the more useful way round.

Webhook access starts on the Basic tier, with organisation-wide webhooks and MCP on Business. The catch is silence on languages: Bluedot names no transcription list anywhere public, so its coverage is unrecorded here and the language filters pass it by. For a team working in English with a Slack habit and a dislike of meeting bots, it is a comfortable fit; anyone who needs a specific language should ask first.