Quick answer: For the longest single sessions on a free plan, Otter.ai's 30-minute-per-session cap (300 min/month total) is hard to beat with no technical setup. If you transcribe daily rather than occasionally, Audiomaktube's free tier actually adds up to more total volume — 2 files a day at 20 minutes each works out to as much as 1,200 minutes a month, more than triple Otter's ceiling, just capped at shorter individual files. OpenAI Whisper is the strongest fully-free choice if you're comfortable running it locally. If your audio mixes languages in the same sentence — Arabic, French, and English blended together, for instance — most free tools on this list will guess badly at exactly the wrong moment, and that's worth knowing before you pick one.
I've tried most of the tools on this list myself, for the same reason you're probably reading it: I needed transcripts for real, messy, jargon-heavy meetings, not the clean two-person podcast interview every demo video uses.
TL;DR
- Longest single session on a free plan: Otter.ai (30-min cap per session, 300 min/month total)
- Highest total monthly volume if used daily: Audiomaktube (2 files/day × 20 min = up to 1,200 min/month, but each file is capped shorter than Otter's session length)
- Best fully-free, no strings attached: OpenAI Whisper (technical setup required) or oTranscribe (manual, zero AI)
- Best free option for Mac users: MacWhisper (runs locally, nothing leaves your device)
- Best free multilingual option: Notta (120 min/month, 58 languages)
- Best for mixed-language speech (Arabic/French/English blended): none of the mainstream free tools handle this well — see the section below on why
- Free doesn't mean risk-free: check what each tool does with your audio data before uploading anything sensitive
What actually matters when a tool says "free"
Every free plan looks the same on a pricing page — a checkmark next to "transcription" and a number next to "minutes." The differences that actually matter show up once you use it on real audio, not the clean sample clip in the demo video.
Accuracy on real audio, not clean audio
Most tools perform fine on a single clear voice with no background noise. The real test is a recording with two or three people talking over each other, an accent the model wasn't trained heavily on, or a name it's never seen before. That's where free tiers — often running lighter, cheaper models than the paid tiers — start to show cracks.
What happens to your audio afterward
Some free tools state plainly that uploaded audio may be used to improve their models. That's a reasonable trade for some use cases and a dealbreaker for others — a client call or a medical conversation is a different situation than a podcast draft. Check this before you upload anything you wouldn't want stored indefinitely on someone else's server.
Speaker labels and export formats
A transcript with no indication of who said what is barely more useful than the raw audio. Free tiers frequently strip out speaker labels, timestamps, or usable export formats (TXT only, no DOCX or SRT) — features that get "unlocked" the moment you pay.
Does it actually learn your jargon?
This one rarely makes it onto "what to look for" checklists, but it's the difference between a usable transcript and one you have to fix by hand. Company-specific acronyms, product names, and industry terms get guessed at wrong, confidently, the same way every time — unless the tool lets you teach it those terms directly.
Can it handle speech that mixes languages mid-sentence?
This is the criterion almost nobody writes about, and it matters enormously if you're in North Africa, parts of Europe, or anywhere multilingual code-switching is just how people talk. A sentence that blends Arabic, French, and English isn't an edge case in daily life — but it is for a model trained mostly on clean single-language audio.
Test on your worst recording, not your easiest one
It's tempting to judge a free tool by uploading a clean, quiet, single-speaker clip — and every tool will pass that test. The differences that actually matter show up on your hardest file: the one with cross-talk, an unfamiliar accent, background noise, or jargon nobody outside your team would recognize. If a free plan gives you even one transcription to spend, spend it on the recording you'd actually struggle to transcribe yourself — that's the one that tells you whether a tool is worth paying for later.
Free transcription tools at a glance
| Tool | Free tier | Best for | Handles mixed languages well | |---|---|---|---| | Otter.ai | 300 min/month total (30-min cap per session) | Longer single meetings | No | | OpenAI Whisper | Unlimited, but requires local setup | Developers, privacy-conscious users | Partially — struggles with code-switching | | oTranscribe | 100% free, manual typing | Difficult audio, total privacy | N/A (manual) | | MacWhisper | Free tier with lighter models | Mac users wanting local processing | Partially | | Notta | 120 min/month, 3-min session cap | Multilingual individuals, students | No | | Audiomaktube | Up to 1,200 min/month total (2 files/day, 20 min each) | Daily use, jargon-heavy work, Arabic/French/English mixed speech | Yes — dual-model merge for dialect handling |
The tools, one at a time
Otter.ai — longest single session on a free plan
Otter's free plan allows a 30-minute session cap, up to 300 minutes total a month, and it can auto-join Zoom, Google Meet, and Teams calls directly. For a team doing a handful of longer meetings a week, the per-session length is the main advantage here.
Where it falls short: 300 minutes total per month is a lower overall ceiling than some alternatives if you're transcribing daily rather than occasionally, and it doesn't have a way to teach it company-specific terminology — jargon gets guessed at the same way every time.
OpenAI Whisper — the strongest fully-free option, if you can set it up
Whisper is open-source, completely free, and runs entirely on your own machine — nothing uploaded, no usage cap. Accuracy on the larger model sizes is genuinely competitive with paid tools.
Where it falls short: it requires installing it locally and running it from a command line, which rules it out for most non-technical users. Third-party apps like MacWhisper wrap it in a usable interface if you want Whisper's engine without the setup.
oTranscribe — free, manual, and genuinely private
oTranscribe doesn't use AI at all — it's a browser-based typing tool with playback controls built for manual transcription. Nothing is uploaded anywhere; your audio and text stay in your browser.
Where it falls short: you're doing the transcribing yourself. It's the right tool when audio is too difficult for AI to handle reliably (heavy accents, bad recording quality) — not a time-saver on its own.
MacWhisper — best free option for Mac users
MacWhisper runs Whisper's models locally on Mac, iPhone, and iPad, with a free tier using the lighter, faster model sizes. Everything stays on your device.
Where it falls short: it's Mac-only, and the free tier's lighter models trade some accuracy for speed compared to the larger paid models.
Notta — best free option for language variety
Notta's free plan gives you 120 minutes a month across 58 supported languages, with a Chrome extension for browser-based meetings.
Where it falls short: each individual recording session is capped at 3 minutes on the free tier, which makes it impractical for anything longer than a quick note without upgrading.
Audiomaktube — highest total free volume for daily use, built for jargon and mixed-language speech
I built Audiomaktube after running into the exact gap this list keeps circling: generic tools handle clean, single-language audio fine, and fall apart the moment a meeting gets technical or the speech mixes languages mid-sentence. The free tier gives you 2 transcriptions a day, up to 20 minutes each — which works out to as much as 1,200 minutes a month if you use it every day, more than triple Otter's monthly ceiling, with speaker detection and TXT/SRT export included from the start.
The two things that don't show up on any other tool in this list: a Vocabulary Library so company-specific terms and acronyms stop getting guessed at wrong every time, and a dedicated approach to mixed Arabic/French/English speech — running two models and merging the results, because no single available model handled both languages at the quality needed.
Where it doesn't fit: if you need a single long recording transcribed in one session — a 45-minute interview, say — Otter's 30-minute session cap still beats Audiomaktube's 20-minute-per-file limit on the free tier, and Whisper's unlimited local processing has no session limit at all. Pick based on whether you need one longer file or many shorter ones spread across the month.
Built-in options you already have (Google Recorder, Google Docs)
Before installing anything, check what's already on your phone or in tools you use daily. Google Recorder (Pixel phones) transcribes on-device in real time for free, and Google Docs has a built-in voice typing feature that transcribes as you speak. Neither handles uploaded audio files well — they're built for live speech, not a recording you already have — but for quick, casual notes, they're worth ruling out before reaching for a dedicated tool.
Why mixed-language speech breaks most "free" tools
This deserves its own section because it's the thing every other roundup of free transcription tools skips entirely. A model trained mainly on clean, single-language audio will guess badly the moment someone code-switches mid-sentence — not as a rare edge case, but consistently, every time it happens. Solving this properly sometimes means running more than one model and merging the results, rather than hoping a single general-purpose model handles everything. That costs more to run than a single-model approach, but the alternative is a transcript that's wrong exactly where it matters most — and "supports 99 languages" on a spec sheet usually means switching between languages, not handling them blended together in the same sentence, which is a much harder problem most tools simply don't attempt.
The trap in every "free" transcription tool
Before building my own tool, a free transcription service capped me at two 30-minute audios a day — brutal when my actual meetings ran an hour or two. I eventually paid for a subscription just to get past the wall. Building Audiomaktube's free tier later, I set a similar kind of limit — 2 transcriptions a day, 20 minutes each — for the same reason that tool did it to me: it's how freemium pricing nudges genuinely regular users toward a paid plan. I'm not pretending otherwise. If you only need the occasional short transcript, the free tier here (or on any of these tools) will do the job. If you're doing this daily, you'll hit the wall eventually — that's true of every tool on this page, not just mine.
When a free tool is genuinely all you need
If you're transcribing one short, clean recording a month with no jargon and no mixed languages, don't overthink this — Otter's free minutes or Whisper's unlimited local processing will cover it, and there's no reason to pay for anything. The moment worth paying attention to is when you're re-listening to recordings just to catch a term the transcript got wrong, or manually fixing the same mistake in every file — that's a sign the free tier's limitations are costing you more time than a paid plan would.
What Audiomaktube actually costs past the free tier
Starter is $5/month: 45-minute files, 20 hours a month, and a quick AI summary. Pro, at $10/month, adds detailed meeting minutes, task and action-item extraction, and the Vocabulary Library for custom terms. Unlimited is $15/month for no caps at all, plus the ability to ask questions across multiple past recordings. New accounts get a 3-day Pro trial before you need to decide.