GigaSpeech
Don’t want to install GigaSpeech? Drop the file here.
The first 20 minutes of any recording are transcribed free: a recording up to 20 minutes transcribes in full, a longer one is previewed, and a pack from $6 (500 minutes) transcribes the rest and opens every export, and credits never expire.
10,000h English ASR corpus — audiobook + podcast + YouTube blend, multiple subsets.
Best for large-scale English ASR with mixed-domain coverage (read + spontaneous + spoken). Pricing: research-only.
What it is
GigaSpeech is a 10,000-hour English ASR corpus spanning audiobooks (LibriVox), podcasts, and YouTube. Five subset sizes (XS→XL) for staged training. Apache-2.0 metadata + source-license-bound audio. Request form gated.
Watch out for: Apache-2.0 metadata · UNDERLYING AUDIO has source-license restrictions (YouTube TOS, podcast copyright) · request-form access · subsets XS(10h)/S(250h)/M(1000h)/L(2500h)/XL(10000h). Cite: Chen et al., Interspeech 2021.
Install / use
from datasets import load_dataset; ds = load_dataset('speechcolab/gigaspeech', 'xs') # request accessWhat people actually do with GigaSpeech-style transcription
The tool is the means. These are the jobs — each one priced at published rates, each one wired up on its own page.
Features
| Speaker diarization | No |
| Word-level timestamps | No |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
Links
GigaSpeech vs Whipscribe
| Feature | GigaSpeech | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | research-only | $6–$24 one-time packs (credits never expire) · first 20 minutes free |
| Speaker identification | No | Named in the summary, key quotes and chapters |
| Word timestamps | No | Yes |
| Streaming | No | No |
| Languages | 1 | 99 |
| Platforms | HuggingFace, GitHub | Web, API, MCP |
Alternatives to GigaSpeech
Frequently asked about GigaSpeech
Does GigaSpeech work on Mac, Windows and Linux?
GigaSpeech runs on HuggingFace and GitHub. It is not listed for other platforms; check the vendor for anything beyond HuggingFace and GitHub.
How do I install GigaSpeech?
Download the installer for your platform from the vendor. No terminal needed.
How many languages does GigaSpeech support?
GigaSpeech lists 1 languages.
Does GigaSpeech identify different speakers?
No. GigaSpeech does not label speakers; a conversation comes back as one continuous text. If you need speaker labels, that is a separate tool or a different service.
Does GigaSpeech give word-level timestamps?
No — GigaSpeech produces segment or sentence timing only, so subtitle cues can land mid-word.
Can GigaSpeech transcribe live audio?
No — GigaSpeech works on finished files, not a live stream.
Is GigaSpeech HIPAA compliant?
GigaSpeech does not claim HIPAA compliance. For PHI, run it on infrastructure you control or choose a service that will sign a BAA.
What are the limitations of GigaSpeech?
Apache-2.0 metadata · UNDERLYING AUDIO has source-license restrictions (YouTube TOS, podcast copyright) · request-form access · subsets XS(10h)/S(250h)/M(1000h)/L(2500h)/XL(10000h). Cite: Chen et al., Interspeech 2021.
Who is GigaSpeech best for?
Large-scale English ASR with mixed-domain coverage (read + spontaneous + spoken).
Does GigaSpeech run offline?
GigaSpeech runs on your own machine — it is open source, so nothing leaves the computer unless you configure it to.
Can I use GigaSpeech in the browser?
No — GigaSpeech is a HuggingFace and GitHub application, not a web app. You install it rather than sign in to it.
Where is the GigaSpeech source code?
On GitHub at github.com/SpeechColab/GigaSpeech. It is maintained by SpeechColab (consortium).
What kind of tool is GigaSpeech?
In this directory GigaSpeech is filed under dataset as a open-source tool.
What are the alternatives to GigaSpeech?
There is a side-by-side page at /tools/gigaspeech-alternatives comparing GigaSpeech with the closest tools in the same category on price, platform and features.
Can I automate GigaSpeech-style transcription without running it myself?
Yes. If what you want is transcripts rather than the tool itself, Whipscribe does the same job as a hosted API: submit a file or URL, poll a job id, pull the result as txt, json, srt, vtt or docx. $0.012 a minute — about $0.72 an audio hour — bought as credits that never expire. The automation recipes on this site show it wired to Drive folders, Zoom recordings, S3 buckets and no-code platforms.
Whipscribe is a hosted transcription service. If you want transcripts without running infrastructure, paste a URL or drop a file in the form below — you'll have a transcript in seconds.
Transcribe your recordings
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Have the recording already?
Skip the setup and send the file or the link: see how to transcribe an MP3 of any length, transcribing a podcast episode and the SRT file generator.
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