Marvin tested nine AI transcribers for teams, including Otter.ai, Gong, and Fireflies.ai, comparing live transcription accuracy, CRM integrations, and monthly pricing.


Twenty minutes into a discovery call, the prospect asked about a feature we'd discussed three weeks earlier. I had no notes from that call, no summary, nothing in the CRM. I started testing AI transcription tools the next day.
I tracked accuracy, speaker labeling, turnaround speed, export formats, free tier limits, and meeting-specific features. I also ran Lindy separately across a week of live sales calls, since it covers the full meeting cycle: prep, live recording, and follow-up, all from Slack.
Every tool on this list solved at least one of three problems well: live meeting capture, recorded file uploads for lectures and interviews, or video and podcast editing. Knowing which problem you're solving makes the decision straightforward.
Here's what I found.
AI transcription turns spoken audio into written text within minutes, using speech models trained on large audio datasets. You upload a recording or let a tool listen live, and it returns a transcript with timestamps and speaker labels.
Say you record a 45-minute interview with a source. Typing it out by hand can eat up most of an afternoon. An AI tool returns a searchable draft in a few minutes, and you click any line to hear the matching audio. You fix the few words it misheard and move on.
Accuracy depends on audio quality, accents, and background noise. Most tools perform well on a clean recording and slip when people talk over each other. A decent microphone often improves accuracy more than switching tools.
The same technology powers three kinds of tools. Meeting tools join your calls and hand you a searchable record when the call ends. Upload tools handle interviews, lectures, and podcast episodes after the fact, while video editors let you cut footage by deleting lines of text. Knowing which one you need narrows your shortlist fast.
A thread on r/automation put the core concern well: accuracy has gotten good, but does it catch the tone and context a human would catch, especially on nuanced interviews? That question shaped what I measured.

I tested every tool on real work: uploaded interviews and podcast episodes, live team calls, and a noisy four-speaker recording where the tool allowed it. I tracked word accuracy, speaker diarization, turnaround speed, export formats, free tier limits, and meeting-specific features. Lindy was tested separately across a week of live sales calls.
A few tools didn't make the list: Trint has strong newsroom credibility but starts around $80 per seat per month, which is hard to justify over Good Tape or Rev.ai for most users. Happy Scribe handles multilingual uploads but fell short of Sonix on accented Spanish audio on the same test file. Castmagic is a content-repurposing tool first.
For teams who need more structure around meeting records, these meeting minutes apps cover the full range.
Otter is an AI meeting assistant that joins your Zoom, Google Meet, or Teams call through OtterPilot. It transcribes each speaker in real time and stores every call in a searchable workspace your team can annotate later.
Best for: Teams running back-to-back meetings who need accurate, searchable records without any per-call setup.

OtterPilot joined a four-person team call in the background. By the time I closed the tab, the summary was in my inbox. It had speaker-attributed quotes, flagged action items, and a full searchable transcript.
I cross-checked speaker labels on a four-person call, and Otter kept them accurate through a 40-minute discussion. The collaborative workspace let me leave comments on specific lines of the transcript and tag teammates on action items directly in Otter.
Otter transcribes six languages: English, Spanish, French, German, Japanese, and Chinese. That limits it for multilingual teams. The free plan limits each recording to 30 minutes and file imports to three uploads for the lifetime of your account. Speaker labels slip once people start talking over each other.
The Basic plan is free and includes 300 minutes per month. Pro is $16.99 per user per month. Business is $30 per user per month. Enterprise pricing is custom. If Otter's six languages don't cover your team, compare these Otter alternatives.
Fireflies is an AI meeting assistant built for sales teams. It joins Zoom, Google Meet, Teams, and Webex calls and pushes the output into Salesforce, HubSpot, or Pipedrive. A conversation intelligence layer sits on top of the transcript and tracks talk-to-listen ratio, sentiment, and topic flags across your full call history. If summaries are all you need, these AI summarizer tools cover lighter options.
Best for: Sales and revenue teams who need meeting output in their CRM after every call without any manual data entry.

The problem with most meeting tools is that the notes stay in the notes app. With Fireflies connected to HubSpot, the call summary and key moments are synced to the deal record before the AE opens a new browser tab.
I ran a full discovery call through Fireflies. It captured the questions asked, the objections raised, and the agreed next steps with accurate speaker attribution. The searchable archive is what sets Fireflies apart. I searched for a keyword across stored calls and found the exact moment a prospect named a competitor.
The free plan limits storage to 400 minutes per team and blocks transcript downloads. Talk-time and sentiment analysis start on Pro, and the full conversation intelligence dashboard is on Business and up. You need a Google or Microsoft account to sign up, and Fireflies only joins meetings on its own once your calendar is connected.
The free plan transcribes unlimited meetings when auto-join is on, but AI summaries are limited. Pro is $18 per seat per month (or $10 per seat per month billed annually). Business is $29 per seat per month (or $19 per seat per month billed annually).
Notta is an AI transcription tool for multilingual teams, covering 58 languages across live meetings and uploaded files. It suits international researchers and teams whose calls switch languages mid-conversation. A bilingual simultaneous transcription mode captures two languages at once across 23 language pairs, a capability most transcription tools don't offer.
Best for: Multilingual teams and international researchers whose calls switch languages mid-conversation.

I ran a 20-minute recording split evenly between English and Spanish through Notta. The transcription held across both languages without a manual switch mid-session. The Chrome extension captured a Google Meet with no visible bot in the participant list. On first-time client calls, a third-party name in that list creates friction. The AI summary accurately organized the main points.
Notta flags action items, generates summaries using templates, and exports transcripts as shareable links or in multiple file formats, which is useful when pushing meeting notes into a client deliverable or internal wiki. For teams already using Notion, Slack, or Zapier, the integrations mean the transcript lands where the work actually happens.
The free plan's 120 minutes per month quickly run out for high-volume teams. Speaker diarization on calls with multiple overlapping speakers loses accuracy. SRT and VTT subtitle exports require a paid plan.
The free plan includes 120 minutes per month with a 3-minute cap per conversation. Pro is $13.49 per user per month. Business is $27.99 per user per month. Enterprise is custom pricing starting at 51 seats.
Rev.ai is a speech-to-text platform for transcribing uploaded audio and video files. It runs two tiers: an AI-automated option for fast turnaround and a human-reviewed option for recordings where verbatim accuracy carries legal or editorial weight. It supports 53+ languages and exports in SRT and VTT caption formats.
Best for: Journalists and legal teams handling recorded interviews where verbatim accuracy on a specific file carries legal or editorial stakes.

I uploaded a 60-minute source interview where a specific quote carried legal weight. A paraphrase wouldn't hold up. I needed the exact words before writing a sentence. The Reverb ASR tier returned the transcript in minutes. On clean single-speaker audio, accuracy was strong, and speaker attribution held through the full recording.
For a 15-minute passage where exact phrasing mattered, I submitted it to the human-reviewed tier. With the verbatim add-on turned on, every word came back exactly as spoken, including fillers, restarts, and overlapping speech. The pay-as-you-go structure suits journalists who handle variable workloads, since they pay per file.
Human transcription at $1.99 per minute is a precision tool. Ten hours of human-reviewed content works out to $1,194. On audio with heavy accents or background noise, expect to clean it up manually before publication. Rev.ai is an API-first product. Teams that want a simple web-based upload interface may prefer Rev.com, the same company's upload service for non-technical users.
The pay-as-you-go plan includes 5 hours of free Reverb ASR credits. Reverb ASR transcription is $0.20 per hour for English and $0.30 per hour for 53+ other languages. Human transcription is $1.99 per minute. Enterprise pricing is volume-based and custom.
Sonix is a file transcription platform that handles uploaded audio and video in 54+ languages. It runs automated translation in the same workflow and exports SRT and VTT captions. The platform is SOC 2 Type 2 certified, offers HIPAA compliance through Medical Sonix, and operates a zero-training policy on customer data, which matters for legal teams and journalists handling sensitive recordings.
Best for: Researchers, multilingual content teams, and journalists working across languages who need transcription and translation in one tool.

I uploaded a 45-minute Spanish-language interview to Sonix. The transcript came back within minutes. Clicking a timestamp mid-document jumped the editor to that word in the audio, which helped when I verified a specific quote across a long file.
I also translated a 10-minute clip without leaving the editor. A Portuguese file I uploaded next ran through the same flow, and I didn't touch the language settings.
The browser editor earns its place on longer files, since you can highlight a section and export only that clip. The Zapier integration pushes each transcript to downstream tools with no manual export. The Adobe Premiere integration helps video teams who use the transcript as a subtitle layer or a rough-cut guide.
There is no recurring free plan, only 30 minutes free on signup. AI accuracy drops on audio with heavy accents or significant background noise. Translated output benefits from a human review pass before publication.
Pay-as-you-go is $10 per audio hour, with no subscription required. The Core plan is $25 per month and includes 5 hours. Advanced is $50 per month and includes 20 hours. Pro is $80 per month and includes 40 hours. Additional hours on any subscription plan are billed at $10 per hour. Additional seats are $25 per month each. Enterprise pricing is custom.
Good Tape is a privacy-first transcription tool built for Copenhagen newsrooms, with source confidentiality as the primary requirement. Files are processed on EU-based servers with AES-256 encryption and automatically deleted after transcription unless the user chooses to keep them.
Best for: Investigative journalists, legal researchers, and anyone handling sensitive interview audio where EU data residency and source protection are non-negotiable.

I uploaded a 40-minute English interview. The transcript came back with accurate speaker labels and an AI summary that grouped the content by topic. The browser editor syncs playback to each word.
Clicking any word in the transcript jumps the audio to that exact moment. The summary included timestamp links for navigating directly to key quotes. Good Tape supports 100+ languages with automatic language detection, and the Pro plan allows bulk uploads for teams processing multiple files at once.
Accuracy drops on low-quality recordings and audio with heavily overlapping speakers. Good Tape is built for uploaded recordings first, and its meeting notetaker is a newer add-on. The Pro plan's 20-hour monthly limit may be insufficient for high-volume users.
A free trial is available with no credit card required. Good Tape lists prices in euros. Pro is €20 per month and includes 20 hours of transcription, unlimited file lengths, speaker labels, AI summaries, and smart search. Business pricing is available on request.
Descript is a video and audio editor that turns the transcript into an edit. Delete a sentence in the text, and that audio disappears from the video. Descript labels speakers automatically, and its Speaker Detective feature plays a clip of each voice so you can name them.
Best for: Podcast producers, YouTube creators, and content teams who want to edit video the way they'd edit a document.

I opened a 90-minute podcast recording in Descript. The transcript loaded alongside the audio, and I cut 15 minutes by highlighting and deleting tangential passages. The audio gaps closed automatically. Filler words disappeared in one batch pass. Studio Sound removed room noise from my microphone with a single click.
Eye contact kept my gaze on the camera, even when I looked down at notes during the recording. Underlord drafted show notes from the full session inside the editor. Of the tools here, Descript is the one designed around transcript editing.
Transcription supports 25 languages across all plans, far fewer than dedicated transcription tools. Accuracy on difficult audio is lower than that of standalone tools like Rev or Sonix. Transcription in Descript is one component of a larger editing suite.
Media hour limits apply per plan and changed with Descript's September 2025 pricing overhaul. Check their pricing page for current allowances before committing.
Descript comes with a free plan. The Hobbyist plan costs $24 per user per month. Creator is $35 per user per month. Business is $65 per user per month, with Brand Studio and priority support. Check Descript's pricing page for current media hour allowances. Enterprise pricing is custom.
Riverside is a remote recording studio for podcasts and video interviews with guests in other locations. It captures each speaker's audio and video as separate tracks, and transcription runs after the session ends. A Magic Clips feature uses AI to identify the most engaging moments in a recording and package them as short-form clips for social, without any manual editing.
Best for: Podcast hosts, video interviewers, and content teams who need studio-quality capture from remote guests before any editing begins.

I recorded a two-person interview in Riverside. Each participant recorded locally on their own device, which meant the audio quality reflected their hardware rather than their internet connection. The uploaded tracks came back as 4K video and 48 kHz audio per speaker, and the text-based editor handled a few light trims inside the same window without needing to export anything.
Riverside sits upstream of Descript in a creator's production stack: you capture here first, then move into post-production. The two pair naturally. Good Tape also handles remote interviews, but it optimizes for source protection and EU data residency rather than capture quality, which puts it in a different category despite the surface-level overlap.
Separate track download hours are capped by the plan. Pro gives 15 hours per month, and Grow gives 20 hours. The free plan's 2-hour multi-track allowance is a one-off lifetime total. Combined with the watermark, it makes the free tier a trial rather than a working setup.
Riverside is a recording and editing platform. Teams that need transcription exports for external use will find dedicated standalone tools more flexible.
The free plan includes 2 hours of multi-track recording and 720p video with a Riverside watermark. Pro is $35 per month. Grow is $45 per month. Webinar is $99 per month. Business pricing is custom.
Lindy is an AI teammate that handles your full meeting cycle, including pre-call prep, live notes, and post-call follow-up. It lives primarily in Slack, but is also reachable over iMessage, Gmail, and the browser. It joins the call, records and summarizes it, then drafts the follow-up and queues the CRM update for your approval.
Best for: Slack-native teams who want meeting prep, live notes, and CRM follow-up handled in one place.

I ran Lindy through a full week of back-to-back discovery calls with a four-person sales team. Before each call, deal history and past call summaries were waiting in my Slack DM.
I walked into every call that week knowing where the deal stood and what the prospect raised last time. Outside Slack, I could reach the same assistant over iMessage and inside Gmail through the Chrome extension.
Here's how Lindy handled each stage of those calls:
Lindy isn't a standalone transcription tool. It doesn't export SRT files, handle bulk file uploads, or function as a video editor. It needs access to your email, calendar, and CRM to handle prep and follow-up. For dedicated file transcription, Rev.ai, Sonix, or Good Tape above are a better fit.
Meeting recordings and notes are included in all plans. Lindy starts at $29.99/month per user on the Team plan (billed monthly). New teammates who join through Slack get a 7-day free trial. People who sign up directly are billed right away.
{{templates}}
OpenAI Whisper is fully free with no usage cap, while Otter, Notta, and Descript offer free tiers with monthly limits. Knowing each limit upfront tells you which tool to test first.
Otter gives the most generous free tier for meeting users. Three hundred minutes per month cover a busy week of standups and syncs. The three lifetime file imports make it a non-starter for anyone who also needs to transcribe pre-recorded content.
Notta's 120 free minutes cover 58 languages, plus a bot-free Chrome extension. The 3-minute cap per recording makes it better for short calls and voice notes than for full meetings.
OpenAI Whisper is the open-source engine behind many transcription apps, including TurboScribe and MacWhisper. Running it directly is free and unlimited, but requires Python installation and command-line comfort. MacWhisper wraps it in a native Mac app. The free version covers the basics, and Pro is a one-time payment of €65. For non-technical users, start there.
Descript's free plan includes 1 hour of media per month and 100 one-time AI credits. The allowance covers a full test of the transcript-editing workflow on a real file.
Pick Otter if you need a real-time meeting bot, and pick TurboScribe if you mainly upload files in bulk.
Otter wins if you need a real-time meeting bot. OtterPilot joins Zoom, Google Meet, and Teams automatically, labels speakers as they talk, and delivers a summary the moment the call ends. At $16.99 per user per month, it covers most meeting-heavy schedules.
The three lifetime file imports on the free plan and the 30-minute per-session cap will create friction for anyone also transcribing pre-recorded content at volume.
TurboScribe wins for bulk file upload. Unlimited transcription with no usage caps and 10-hour file uploads at $20 per month removes the per-minute math entirely. It supports 98+ languages and translates into 134+ languages, making it the stronger pick for multilingual file workflows. It has no meeting bot or real-time capture.
Otter is the best AI transcription tool for most meetings, and Fireflies is the better pick when notes need to land in your CRM. Headline accuracy numbers matter less than how a tool handles your real calls. Most tools fall short on auto-join reliability, speaker accuracy on noisy calls, or downstream integrations.
Here is what matters when comparing options:
For teams that want prep, live capture, and CRM follow-up handled from Slack, Lindy covers the full meeting cycle. It drafts the follow-up and queues the CRM update for your sign-off once the call ends.
To choose the right AI transcription tool, match it to your workflow before you compare features. The biggest mistake is running accuracy benchmarks between a live meeting bot and a file-upload tool. Those two products solve different problems. Identify your use case first, and the shortlist writes itself.
Here is how to pick based on what you actually need:
Most meeting problems start after the transcript lands, in the follow-up that slips and the prep nobody did. Lindy is an AI teammate that joins your calls from Slack, then drafts the follow-up and queues the CRM update for your sign-off. Lindy starts at $29.99/month per user on the Team plan.
Otter is the best real-time AI transcription app for English-language meetings. OtterPilot joins Zoom, Google Meet, and Teams calls automatically, labels speakers as they talk, and sends a summary when the call ends. Fireflies is the better fit for sales teams that sync notes to a CRM. Lindy suits Slack teams that also want the follow-up drafted.
Yes. OpenAI Whisper is a completely free AI transcription tool with no usage limits, but it needs a Python setup to run locally. For non-technical users, Otter's free plan covers 300 minutes per month, and Notta's free plan covers 120 minutes. Descript’s free plan includes 1 hour of media per month. Beyond those allowances, you need a paid plan.
Rev.ai is the most accurate AI transcription tool in 2026 for recordings where every word counts. Its Reverb ASR tier handles clean audio with strong accuracy, and its English-only human tier starts at $1.99 per minute, with verbatim as a paid add-on. Sonix is the stronger pick for multilingual files. On any tool, accuracy drops with heavy accents, background noise, and overlapping speakers.
The main difference is that AI transcription gives you a word-for-word record, while an AI meeting assistant builds on that transcript with summaries, action items, and CRM syncs.
Rev.ai's human-reviewed tier is the strongest option for medical or legal transcription, starting at $1.99 per minute, with verbatim output as a paid add-on. Before uploading any protected health information, confirm the vendor will sign a Business Associate Agreement. AI-only output is not safe for depositions or patient records without a human review pass.
Notta, Jamie, and Fellow handle AI transcription with no meeting bot in the call. Notta's Chrome extension records browser-based calls with no named participant. Jamie and Fellow capture audio from your device instead. Otter and Fireflies send a visible bot by default, but their desktop apps also record bot-free when a bot would feel intrusive.
