Free Audio Transcription: Best Tools in 2026

Best Tools for Free Audio Transcription

The best free audio transcription tools in 2026 are OpenAI Whisper, Otter.ai, Google Gemini, and Descript, but each has its own limitations. Whisper is open-source and unlimited when self-hosted; Otter includes 300 free minutes per month; Gemini handles short audio uploads; and Descript provides 60 media minutes monthly. Here is exactly what each free option includes, where accuracy drops and when paying per minute is cheaper than a subscription.

Best free audio transcription tools at a glance

ToolFree allowanceAccuracy and ratingExportCommercial useMain catch
OpenAI WhisperUnlimited when run locally9.6/10 accuracy; 4.6/5 overallTXT, SRT, VTT, TSV and JSONMIT-licensed software; source-audio rights still applyRequires installation and your own processing power
Otter.ai300 minutes per month8.4/10 accuracy; 4.1/5 overallTXT on BasicWork use is supported, subject to consent and account termsOnly three lifetime audio or video file imports on Basic
Google GeminiUp to 10 minutes of audio per prompt, plus rolling limits8.8/10 accuracy; 4.3/5 overall for Gemini Flash STTCopy text or export to Google DocsCheck Google terms and workplace data policyNot a dedicated transcript editor
Descript60 media minutes per monthNot separately scored in the DIY AI datasetTXT, SRT and VTTSuitable for creator workflows, subject to media rights and plan termsUploads and recordings use the same allowance

The DIY AI scores measure practical speech-to-text performance, including accuracy, punctuation, noise handling, diarisation and exports. See the full ranking of the best speech-to-text tools for API and enterprise alternatives.



Which free transcription tool should you choose?

OpenAI Whisper: best for unlimited local transcription

Whisper is the only option here that stays free regardless of monthly volume. Once installed, it can transcribe interviews, lectures, podcasts and voice notes without sending the audio to a cloud service. That makes it the strongest choice for privacy and repeat use. The cost is your time, electricity and hardware. Whisper also lacks the polished collaboration, meeting capture and native speaker-labelling workflow found in paid services. The official Whisper repository contains its current setup instructions.

Otter: best for meetings

Otter is easier for live meetings because it combines recording, speaker identification, playback, summaries and searchable notes. It’s 300 monthly minutes sound generous, but the free Basic plan now includes only three lifetime file imports. Basic exports are also limited to TXT. Use Otter for meetings you record inside the app, not for clearing a backlog of existing audio files.

Google Gemini: best for a short one-off recording

Gemini is useful for a voice note or clip under 10 minutes. Upload the audio, ask for a verbatim transcript, then request a cleaned version or summary separately. That order matters because asking for a polished transcript immediately can encourage the model to rewrite unclear speech. Gemini also applies rolling file-analysis limits, so it is not a dependable batch tool.

Descript: best for podcasts, video and captions

Descript is strongest when transcription is part of the editing process. Its transcript controls the media timeline, and the same project can produce captions and subtitle files. The 60-minute free allowance is enough for testing a short episode, but it is poor value if you only need plain text and none of the editing features.

Truly free transcription versus a free trial

Local Whisper is genuinely free software with no minute cap. Otter, Gemini and Descript offer continuing free access, but their allowances reset or are restricted by uploads and rolling limits. A free trial is different: it may provide a small one-off allowance, require payment details or block useful exports after the test.

Be cautious with anonymous tools promising unlimited audio transcription without sign-up. Before uploading interviews, customer calls, or health-related discussions, check the storage, deletion, and model-training policies. A zero price does not make a service suitable for sensitive recordings.

ProsCons
No subscription for occasional recordingsMinute, file and export limits often overlap
Local Whisper can keep audio on your deviceSelf-hosting requires setup and processing time
Free plans let you compare transcript qualityNoisy audio and overlapping speakers still need checking

When paying per minute is cheaper than subscribing

OpenAI currently lists gpt-4o-transcribe at about $0.006 per minute and gpt-4o-mini-transcribe at about $0.003 per minute. At the higher rate, one hour costs $0.36 and ten hours cost $3.60.

Monthly audioAt $0.006 per minuteAt $0.003 per minute
1 hour$0.36$0.18
5 hours$1.80$0.90
10 hours$3.60$1.80
25 hours$9.00$4.50

Compared with Otter Pro’s annual billing rate of about $8.33 per user per month, the $0.006 rate remains lower until roughly 23 hours of audio. That comparison covers raw transcription only. A subscription also covers capture, storage, summaries, collaboration, and a finished interface. Our guide to the Whisper API cost per minute explains the wider pricing trade-offs.

How to transcribe audio locally for free

Install Python and FFmpeg, then install Whisper from a terminal:

python -m pip install -U openai-whisper

Move to the folder containing your recording and run:

whisper "recording.mp3" --model turbo

The turbo model is a practical starting point for English because it is faster than the largest model while retaining strong accuracy. Review names, numbers, technical terms and overlapping speech before publishing. For file preparation and format-specific advice, see our guide to transcribing MP3 files to text.

Verdict by use case

Use caseBest free optionReason
Unlimited or private transcriptionOpenAI Whisper locallyNo minute quota, and audio can remain on your device
Live meetingsOtterRecording, speaker identification and searchable notes
Short audio clipGoogle GeminiFast upload and follow-up summarisation
Podcast or video captionsDescriptTranscript-based editing and subtitle exports

Whisper is the best free audio transcription option overall when you can handle the setup. Otter is better for meetings, Gemini for files under 10 minutes and Descript for creator workflows. Once free limits force repeated splitting, copying or account switching, a low-cost API is usually the cleaner route.

After transcription, the free DIY AI writing course can help turn rough notes into clearer copy without changing the speaker’s meaning.

Frequently asked questions

Can I transcribe audio to text for free online?

Yes. Otter, Gemini and Descript offer ongoing free access, but each limits the number of minutes, uploads or files. For uncapped transcription, install Whisper locally.

Is there a free transcription tool with no time limit?

Whisper has no monthly time limit when run on your own computer. Processing speed and hardware are the practical constraints.

Can Google transcribe an audio file?

Gemini can transcribe up to 10 minutes of audio per prompt on the free tier. Google Docs Voice Typing is intended for microphone dictation rather than for normal audio file uploads.

How accurate is free audio transcription?

Clear, close-mic speech produces the best results. Crosstalk, background noise, phone compression, specialist names, and heavy accents increase the amount of correction work. DIY AI scores Whisper at 9.6/10 for accuracy, Gemini Flash STT at 8.8/10 and Otter at 8.4/10.

Can I transcribe an MP3 without signing up?

Yes. Local Whisper does not require a transcription service account. Avoid uploading sensitive MP3 files to an unknown browser tool until you have checked its privacy and retention policy.

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Steven Jones

Writer: Steven Jones

AI Tools Reviewer and Technical Analyst

Steven Jones is a technology analyst specialising in artificial intelligence, machine learning workflows, and emerging automation tools. At DIY AI, he focuses on clear, practical guidance for people comparing AI tools in the real world. His work covers text generation, image generation, video tools, data platforms, developer-focused AI products, and the automation workflows that connect them. Steven's reviews are built around hands-on testing, practical benchmarks, and transparent scoring rather than vendor claims. He looks closely at where each tool performs well, where it falls short, and what those trade-offs mean for creators, teams, and businesses trying to make sensible AI adoption decisions. He has a particular interest in safety, reliability, output quality, performance metrics, and dataset quality. When he is not reviewing the latest AI model updates, he experiments with prompt engineering techniques and contributes to DIY AI ongoing work on fair, explainable scoring frameworks for AI tools.

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