Live Captions by Subanana vs Whisper

Live Captions by Subanana and Whisper are both audio & voice tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Live Captions by Subanana

The tool covers four distinct workflows under one interface: video subtitling with glossary enforcement, verbatim transcription with word-level speaker separation, meeting capture without requiring a bot to join the call, and live captioning for in-room or public-display audiences across 95+ languages. Dual ASR engines run per language pair with millisecond timecodes, and custom glossaries correct terminology before translation — each substitution logged. Export options include SRT, VTT, FCPXML, XLSX, Markdown, and burned-in video up to 4K. The free tier caps projects at 15 minutes, which surfaces the wall fast for anyone processing long-form content. No API is available, so teams that need to wire this into an existing pipeline hit a dead end and look elsewhere.

Whisper

Whisper solves the transcription bottleneck: turning audio from meetings, interviews, and podcasts into searchable text. It's trained on 680,000 hours of multilingual audio, so it handles accents and background noise better than most competitors. OpenAI charges $0.006 per minute of audio via API, with a free tier capped at modest monthly usage. The catch is real: heavy users quickly hit rate limits, and the free tier vanishes once you scale beyond hobbyist volume. You're paying per minute consumed, not per month.

Attribute	Live Captions by Subanana	Whisper
Pricing	Paid	Free
Price	—	Free (open-source model)
Free trial	No	No
Open source	No	Yes
Has API	No	Yes
Self-hosted option	No	Yes
Platforms	Web, Chrome extension	Web, API
Languages	—	Supports multiple languages but specific count not disclosed
Released	—	2022-09
Pros	Dual ASR engines run per language pair with millisecond timecodes and silence recovery, so the exported file stays frame-accurate even when audio quality dips between speakers. Glossary enforcement corrects domain-specific terms before translation and logs every substitution, which means brand names, product terms, and specialized vocabulary survive the language switch without a manual review pass. Word-level speaker diarization splits overlapping voices at word boundaries and carries named roster labels through every export format, so a two-hour interview with four speakers arrives as a quotable, attributed transcript rather than an undifferentiated wall of text. Export covers SRT, VTT, FCPXML, XLSX, Markdown, and burned-in video up to 4K, which means the same processed file hands off to a video editor, a data analyst, and a publishing workflow without conversion steps. A no-bot browser extension captures meetings without joining as a participant, so teams whose platforms block third-party bots can still get a transcript without requesting IT exceptions.	High accuracy in speech recognition and transcription Continuous updates and improvements from the research community Ability to handle a wide variety of accents and dialects
Cons	The free tier caps each project at 15 minutes, so a 90-minute interview or a two-hour event recording hits the wall on the first upload — teams processing long-form content regularly are immediately into paid territory and need to budget accordingly before starting. No API is available, which means every file requires a manual upload through the web interface. Teams that generate transcription jobs programmatically — automated ingest pipelines, post-production workflows triggered by a CI step — cannot integrate this tool and move to a competitor that exposes an endpoint. Live captioning and meeting transcription depend on a stable connection to the Subanana service with no self-hosted option, so organizations under strict data-residency requirements or operating in environments where outbound connections to third-party SaaS are restricted cannot deploy this tool.	Limited free tier for extensive usage API rate limits apply even in the freemium tier

Bottom line

Live Captions by Subanana is paid while Whisper is free; Whisper is open source; only Whisper exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Live Captions by Subanana and Whisper?

Live Captions by Subanana is Paid, while Whisper is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Live Captions by Subanana better than Whisper?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.