AssemblyAI

AssemblyAI is a paid product — published pricing: from $0.37/hr. Pricing changes; verify on the vendor's own page before budgeting.

AssemblyAI is an API — you call it from whatever you build, on any platform with an HTTP client.

AssemblyAI is used through its API: get a key from the vendor, then call it from your own code. There is no desktop app to install.

AssemblyAI lists 99 languages. That is the Whisper-family multilingual set, so quality varies by language — English and the large European languages are strongest.

Per-minute cost rises with add-ons; proprietary model (Universal-2), so no self-host path.

Product teams that want transcription + NLP (summaries, topics, sentiment, PII) in one API.

No. AssemblyAI is a proprietary API. If you need source you can read and run yourself, the open-source tools in this directory are the place to look.

In this directory AssemblyAI is filed under commercial api as a API.

There is a side-by-side page at /tools/assemblyai-alternatives comparing AssemblyAI with the closest tools in the same category on price, platform and features.

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. $0.008 a minute — about $0.48 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.

AssemblyAI is another vendor's product; Whipscribe is a per-minute transcription service. Recordings are transcribed on our own servers and never used for training, and every job returns five formats plus an AI summary, quotes and topics. Every recording starts with a free preview of its opening minutes, and a pack from $4 (500 minutes) transcribes the rest and opens every export.

$0.008 a minute — about $0.48 an audio hour — bought as credits that never expire. There is no subscription and no monthly minimum: a 3-hour recording is about $1.44, a thousand-hour archive is about $480 once. Every recording starts with a free preview of its opening minutes, and a pack from $4 (500 minutes) transcribes the rest and opens every export, so you can see what your recording holds before paying anything.

Three things are moving across the whole speech-to-text market right now: summaries, action items and speaker insights generated on top of the transcript rather than sold separately; private, secured deployment where the audio never leaves a boundary you control; and agent access — transcription exposed as a tool that Claude, Cursor or a workflow runner can call directly. Whipscribe ships all three today: per-job insights, our own servers, and an MCP server.