Whisper
OpenAI's speech-to-text model — 97 languages, speaker detection, and audio file uploads up to 25MB. The default for podcast transcription, meeting notes, and accessibility workflows on Renas AI.
Model Specs
- Released
- Nov 2023
- Max file size
- 25MB
- Formats
- audio/mpeg, audio/mp3, audio/wav, audio/ogg
- Speaker detection
- Yes
- Modalities
- audiotext
Speech transcription capabilities
File format support, max upload size, and language coverage.
About this model
Whisper is OpenAI's speech recognition model, originally released on September 21, 2022 with subsequent improvements through Whisper Large V3 (November 2023). It's an encoder-decoder transformer trained on 680,000 hours of labeled audio from the internet, covering English plus 96 additional languages — about 97 total. The training corpus and architecture make Whisper one of the most accurate transcription models available, particularly strong at handling accents, background noise, and code-switching between languages within a single recording.
On Renas AI, Whisper is available in the AI Voice tool's speech-to-text mode. You upload an audio file (up to 25MB), and Renas returns a transcript with optional speaker detection (diarization) — useful for meeting notes, interview transcripts, and podcast workflows where you want to attribute lines to individual speakers. Audio formats supported include MP3, WAV, FLAC, M4A, and other common types.
Whisper itself is open-source under MIT license — you could self-host it if you wanted. The advantage of running it on Renas is the integrated workflow: transcripts go into your asset library, you can pipe them into the Blog Wizard or AI Editor for follow-up content generation, and you don't manage GPU infrastructure or API quotas. Credits are deducted per second of audio, so a 5-minute interview costs predictably regardless of model choice.
Key Strengths
97-language coverage
English plus 96 additional languages — among the broadest coverage of any commercial transcription model. Particularly strong on European languages, with growing accuracy on Asian and African languages.
Speaker detection (diarization)
Renas's Whisper integration supports speaker labeling — automatic identification of which speaker said which line. Essential for interviews, podcasts with multiple hosts, and meeting transcripts.
Broad audio format support
MP3, WAV, FLAC, M4A, and other common formats. Up to 25MB per file. No need to pre-convert recordings before upload.
Robust to noise and accents
Trained on 680,000 hours of diverse internet audio — handles background noise, regional accents, code-switching between languages, and varying audio quality far better than older transcription models.
Translation as a side feature
Whisper can translate non-English audio directly to English text in addition to transcribing in the source language — useful for international content workflows.
Predictable per-second pricing
Cost scales with audio length, not file size or quality. A 5-minute interview costs the same regardless of bitrate, format, or speaker count.
Best use cases
Podcast transcription and show notes
Transcribe full episodes, generate searchable transcripts for SEO, then pipe the text into the Blog Wizard to produce show notes or article-form summaries.
Meeting notes and action items
Upload meeting recordings, get speaker-labeled transcripts, then summarize with GPT-5.2 or Claude Sonnet 4.5 to extract decisions and action items automatically.
Interview transcription for journalism
Long-form interview recordings transcribed with diarization — quickly find quotable lines, attribute them correctly, and pull pull-quotes for articles.
Accessibility — captions and subtitles
Generate closed captions for video content, accessibility transcripts for educational material, or written equivalents for accessibility-compliant publishing workflows.
Multilingual content workflows
Transcribe non-English audio directly, or use Whisper's translation feature to get English text from foreign-language source recordings — useful for international research and content adaptation.
Voice notes to structured content
Record ideas as voice memos, transcribe with Whisper, then use the Blog Wizard or AI Editor to turn raw notes into polished articles, emails, or documentation.
How to use it on Renas AI
- 1
Step 1
Open the AI Voice tool in STT mode
Navigate to AI Voice in the Renas dashboard, then switch to the Speech-to-Text mode. The model picker shows Whisper as the default OpenAI option.
- 2
Step 2
Upload your audio file
Drag and drop or browse to your audio file — up to 25MB. Supported formats include MP3, WAV, FLAC, M4A. For longer recordings that exceed the size limit, split the file into segments before uploading.
- 3
Step 3
Toggle speaker detection if needed
Enable diarization for multi-speaker content (meetings, interviews, podcasts). Skip it for single-speaker recordings — diarization adds processing time and isn't needed.
- 4
Step 4
Review transcript and pipe to other tools
The transcript appears in the tool — copy, download, or send directly to AI Chat / Blog Wizard / AI Editor for follow-up tasks like summarization, action item extraction, or article generation.
Pricing
Pricing on Renas AI
Pay-as-you-go credits, no API keys, no rate limits.
Frequently asked questions
Other OpenAI models
Transcribe audio in seconds
Use OpenAI Whisper with your Renas AI subscription credits — no API key, no setup, no per-seat fees.
Try Whisper