You pick a transcription service once and use it every week: calls, interviews, lectures, podcasts. There are dozens of tools, and almost all of them promise "audio and video to text online in minutes" — but they differ wildly in accuracy, speaker handling, and pricing model. In this article we compare approaches: which criteria to use when choosing a transcription service, what categories of solutions exist, where each one shines — and what to do with the finished transcript next.
This is a market overview with selection criteria. If you need a step-by-step "upload a file — get the text" walkthrough, see the companion guide on how to transcribe audio to text.
How to choose a transcription service: 6 criteria
1. Accuracy on your language
The main filter. Many services are trained primarily on English speech: they hit 95%+ on presentations, then stumble on interviews in other languages — "15,000" turns into "15 1,000". Test on your own recording, not on the demo: upload the same 5-minute fragment to 2–3 services and compare which needs fewer edits. OpenAI's Whisper models are the de facto standard for multilingual speech: they were trained on hundreds of thousands of hours of audio in dozens of languages.
2. Speakers and timestamps
For interviews and calls, the text should not merge into a wall. There are two different mechanisms here: diarization — the service tells voices apart by timbre and labels them "Speaker 1 / Speaker 2", and utterance grouping — the text is split into turns, and the roles are assigned afterwards by a person or a chat model. Timestamps matter if the recording will become subtitles or an edit.
3. File length and format
A two-hour webinar should not require manual splitting. Check the limits: maximum duration, file size, and whether the service accepts video directly (MP4, MOV) or audio only.
4. Privacy
Meeting recordings are sensitive data. Check where files are stored, whether you can delete them, and whether the service uses your recordings to train models. For corporate work this often matters more than price.
5. Pricing model
Subscription services charge $10–20 a month no matter how much you transcribe. If you don't need transcription every day, pay-per-file is the better deal: you pay for a specific recording — and that's it.
6. What happens after the transcript
A transcript is raw material. It then becomes meeting minutes, study notes, or an article. If the service can only recognize speech, you'll have to carry the text into a separate AI chat. It's more convenient when transcription and chat models live in one place with one balance.
Transcription service categories: comparing approaches
| Category | Examples | Strengths | Weaknesses |
|---|---|---|---|
| Built-in meeting assistants | Zoom AI Companion, Google Meet | Work automatically, no file uploads | Only their own calls, weaker on non-English speech, text is locked inside the service |
| Dedicated subscription services | Otter, Fireflies, Notta | Voice diarization, calendar integrations | Subscription regardless of volume, accuracy drops outside English |
| Whisper run locally | open-source Whisper | Full control, files never leave your machine | Needs serious hardware and setup; no speakers or summaries out of the box |
| AI platforms with pay-per-file | GPTunneL | Whisper plus chat models on one balance, you pay per recording | No timbre-based diarization — a chat model labels the roles as a second step |
The takeaway from the table is simple: the "best transcription service" depends on the scenario. Daily English-language sales calls are a job for Fireflies or Otter. One-off transcriptions of interviews, lectures, and podcasts in other languages are a job for Whisper — and it's most convenient inside a platform that also handles post-processing.
Transcription in GPTunneL: Whisper plus chat models
In GPTunneL, transcription is the Audio and Video to Text tool built on Whisper models. It runs in the browser and accepts audio (MP3, WAV, FLAC, M4A) and video (MP4, WEBM, MOV) — the audio track is extracted from video automatically.
There are three models; you pay per minute of recording, not a subscription:
- Whisper-Tiny — $0.01/min, a fast draft transcript;
- Whisper-Medium — $0.0125/min, the balanced choice for everyday work;
- Whisper-Large — $0.0145/min, maximum accuracy plus manual language selection, for interviews and anything where every wording matters.
The final cost is calculated from the recording length and shown before you start: an hour-long call on Tiny runs about $0.60. What the tool can do and which formats it takes — on its page. To be upfront about the limitation: Whisper does not tell voices apart by timbre — the text is grouped into turns, and roles ("interviewer / guest") are easy to label as a second step in the chat. A short voice message doesn't even need the separate tool: Gemini 3.6 Flash accepts audio right in the chat.
What to do with the transcript: summaries and minutes with AI
A transcript by itself is rarely the goal — the document made from it is. In GPTunneL you don't need to move the text anywhere: open a chat, paste the transcript, and ask. Two ready-made prompts cover most tasks.
Meeting minutes from a call recording:
Here is a transcript of a work meeting. Produce the minutes:
1) key decisions; 2) action items — who does what and by when;
3) open questions that were left unresolved.
Keep it short, use lists. If an owner or deadline wasn't named, mark it "to clarify".A summary of an interview or lecture:
Here is a transcript of an [interview/lecture]. Write a one-page summary:
main points by section, 3–5 strong quotes verbatim,
key terms with definitions. Finish with a list of topics left uncovered.For long recordings, pick a model with a large context window: GPT 5.5 fits up to a million tokens — an entire multi-hour conference transcript in one go, no splitting, no lost coherence.
FAQ
Is there a completely free transcription service?
Free tiers usually come with limits: minutes per month, reduced accuracy, watermarks in exports. Open-source Whisper can run locally, but you pay in hardware and setup time. GPTunneL has no free tier, but no subscription either: a transcription costs from $0.01 per minute of recording, and the price is shown before you start.
Which transcription service handles non-English speech best?
The one built on a strong multilingual model. Whisper-Large holds up well on speech with jargon and accents, while subscription services are typically less accurate outside English. The reliable test is to run one fragment through several services and count the edits.
Can I transcribe video to text online?
Yes. Whisper-based services accept video files directly — MP4, WEBM, MOV — and extract the audio track themselves. If the file weighs gigabytes, it's faster to pull the audio out as MP3: transcript quality won't change, since the model only works with sound.
How do I turn a call recording into minutes with action items?
Two steps: first transcribe the recording with Whisper, then paste the text into a chat model with a minutes prompt — decisions, tasks, owners, deadlines. In GPTunneL both steps happen on one platform from a single balance.
Compare on your own recording
The best test isn't someone else's review — it's your recording: upload your latest call to Audio and Video to Text, get the text in a minute, and turn it into minutes right in the chat. No subscriptions, from $0.01 per minute of recording, and the price is visible before you start.