I will transcribe audio at scale via a speech-to-text API — fast, accurate, many languages
About this gig
Turn audio into accurate text at scale with a fast, multilingual speech-to-text API. Get an instant key, point your app at one endpoint, and pay only per audio-minute you actually transcribe.
What you get
This is a self-serve speech-to-text API built for developers and teams who need to convert recorded or streamed audio into clean, usable text without standing up their own ML infrastructure. You provision a key, hit a single transcription endpoint, and we handle the heavy lifting.
- One simple transcription endpoint. POST your audio file (or a public URL) and receive a structured JSON response with the full transcript, per-segment text, and timestamps.
- Per-audio-minute billing. You are metered on the duration of audio processed, not on requests or seats. Short clips cost less; long recordings scale predictably.
- Instant API key. No sales call, no waiting room. Place your order, receive your key and endpoint URL, and make your first call within minutes.
- Wide language coverage. Transcribe speech in dozens of languages, with automatic language detection available so you do not have to tag every file by hand.
- Word- and segment-level timestamps. Every transcript comes back with timing data, so you can build captions, jump-to-moment players, or align text to the original waveform.
- Common audio formats accepted. Send MP3, WAV, M4A, FLAC, OGG, WebM and other widely used formats — no need to transcode first in most cases.
- Batch-friendly throughput. Submit many files in parallel and process large back-catalogs without babysitting a queue.
- Clean, predictable JSON. A stable response shape with the transcript, confidence signals where available, detected language, and segment array — easy to parse in any stack.
- Punctuation and casing. Output is formatted for readability, not a raw stream of lowercase tokens, so it is usable straight out of the response.
- HTTPS + bearer-token auth. Standard, language-agnostic integration that works from any backend, serverless function, or scripting environment that can make an HTTP request.
Plans
All tiers use the same endpoint and the same response format. The difference is throughput headroom and how much audio you process. You are always billed per audio-minute — pick the tier that matches your volume.
| Tier | Best for | Included |
|---|---|---|
| Starter | Prototyping, side projects, and low-volume apps | API key + endpoint, full language coverage, timestamps, standard concurrency, community-style email support |
| Growth | Production apps with steady daily transcription | Everything in Starter, higher concurrency for parallel batches, priority queueing during peak load, faster support response |
| Scale | High-volume platforms and large media archives | Everything in Growth, maximum concurrency, highest sustained throughput, priority processing, and direct technical support for integration |
Need something beyond Scale — very large archives, sustained enterprise throughput, or custom concurrency? Message me before ordering and I will size the right tier for your workload.
How it works
- Order and get your key. Complete your order and receive your API key plus the endpoint URL instantly.
- Read the quick-start. A short integration guide shows the exact request shape, auth header, and a sample response so you can copy-paste your first call.
- Send audio. Make an authenticated HTTPS request with your audio file or a URL to it, plus optional parameters like target language.
- Receive the transcript. Get back JSON containing the full transcript, per-segment text, timestamps, and the detected language.
- Scale up. Loop the same call across your library or wire it into your pipeline. You are billed per audio-minute processed, so cost tracks usage.
Why choose this
- No model ops on your side. You skip GPU provisioning, model updates, and scaling headaches. One endpoint does the work.
- Built to scale, not just demo. Parallel batch submission and tiered concurrency mean the same integration that handles ten files handles ten thousand.
- Honest, usage-based metering. Per-audio-minute billing means you are never paying for idle capacity or empty seats.
- Truly multilingual. Automatic language detection and broad language support let one integration serve a global user base.
- Developer-first ergonomics. Predictable JSON, standard bearer auth, and common audio formats keep your integration short and your maintenance low.
- Instant start. The key is issued on order, so you can be transcribing the same day you decide to build.
Who it's for / use cases
- Podcast and media teams generating searchable transcripts, show notes, and captions for back-catalogs and new episodes.
- SaaS builders adding voice-note transcription, meeting summaries, or call logging to their product without hiring an ML team.
- Customer support and sales ops turning recorded calls into searchable text for QA, coaching, and compliance review.
- Researchers and journalists transcribing interviews and field recordings across multiple languages quickly.
- Accessibility teams producing captions and transcripts to meet accessibility requirements on video and audio content.
- App developers wiring dictation or voice-to-text features into mobile and web apps via a single backend call.
- Localization workflows that need source-language transcripts as the first step before translation and subtitling.
FAQ
Q: How am I billed? You are billed per audio-minute of content processed. The meter is based on the duration of the audio you send, not the number of API requests, so costs scale directly with usage.
Q: How do I get my API key? Your key and endpoint URL are issued instantly when you place your order. There is no waiting period or manual approval step — you can make your first call right away.
Q: Which languages are supported? The API covers dozens of languages and includes automatic language detection, so you can transcribe multilingual content without tagging each file's language in advance.
Q: What audio formats can I send? Common formats including MP3, WAV, M4A, FLAC, OGG, and WebM are accepted. You can send a file directly or point the API at a URL where the audio is hosted.
Q: Do I get timestamps? Yes. Every transcript returns segment- and word-level timing data, which makes it straightforward to build captions, searchable players, or text aligned to the original audio.
Q: Can I process many files at once? Yes. The API is built for batch and parallel submission. Higher tiers unlock more concurrency and sustained throughput so you can transcribe large archives efficiently.
Q: How do I integrate it? Any environment that can make an HTTPS request works. You send an authenticated POST with your audio and parameters and parse the JSON response — no special SDK is required, though the quick-start gives you ready-to-use request samples.
Q: What if my volume outgrows the top tier? Message me before ordering. For very large archives or sustained enterprise throughput, I will size custom concurrency and the right plan for your workload.
Reviews★4.5(8)
- @lab92★★★★★5
We had hours of podcast audio and it all came back transcribed and well organized. Smooth from start to finish.
- @ninamedia★★★★★3
Got my recordings transcribed and the bulk of it was fine, but one file with heavy background noise had several errors I had to fix.
- @noraio★★★★★5
Dropped a pile of French and German clips and the transcripts came back clean in both languages. Really impressed with how it scaled.
- @thepixelco★★★★★5
Handled a mix of English and Spanish files no problem, both came back accurate. Will be using this again for my next batch.
- @pixel07★★★★★5
Sent over a big folder of interview recordings and got clean text files back fast. The accuracy was honestly better than I expected.
- @noracodes★★★★★5
Bulk uploaded around fifty audio files and they were all transcribed without me having to chase anything. Super efficient.
- @jackw★★★★★4
Good transcription overall, a couple of names were spelled phonetically but everything else was spot on. Quick turnaround too.
- @sophia7★★★★★4
The text came back fast and mostly accurate. A few mumbled sections were marked unclear, which I actually appreciated rather than guessing.