# Whisper Canonical page: https://fuser.studio/models/whisper Whisper in Fuser transcribes speech from audio into text and translates it to English across many languages. Feed transcripts into captions. ## Specs | Spec | Value | | --- | --- | | Inputs | Audio | | Output | text | | Cost | 35 credits per run | Transcribe multilingual speech with word-level precision or translate spoken audio directly into clean, punctuated English text Creator: OpenAI Also known as: Wizper [Transcribe audio](https://app.fuser.studio) ## How Whisper works Convert raw audio files into clean, punctuated transcripts or English translations in three simple steps. ### Upload audio recording Provide a clear mono or stereo audio file under 25 MB in MP3, AAC, or WAV format. ### Select task and language Choose whether to transcribe the original language or translate to English, with auto-detection across nearly 100 languages. ### Receive punctuated transcript Get clean, publication-ready text with standardized capitalization, punctuation, and normalized speech fillers. ## What Whisper is good at Engineered on an optimized 1.55-billion parameter architecture for high-speed speech recognition across nearly 100 languages. ### Multilingual Speech Recognition Transcribe spoken audio across nearly 100 languages with automatic language detection, maintaining high accuracy across varied accents and noisy background environments. ### Direct-to-English Translation Convert foreign-language spoken dialogue directly into fluent, punctuated English text in a single pass without chaining separate translation pipelines. ### Accelerated Inference Performance Process long recordings at more than double the speed of baseline models while preserving identical word error rates on 1.55-billion parameter weights. ### Automated Formatting and Punctuation Transform continuous speech into structured paragraphs complete with grammatical punctuation, proper noun capitalization, and stripped filler disfluencies. ## Made with Whisper Explore real-world transcription and translation outputs across documentary audio, broadcast media, multi-speaker interviews, and video captions. ### Archival interview restoration and documentary transcription ### Direct-to-English brand campaign translation ### Social media video captioning under heavy background noise ### Technical keynote address and symposium transcription ### Cinematic film dialogue transcription and subtitling ## What people build with Whisper Built for video creators, documentary filmmakers, podcasters, and localization teams who need fast, verbatim-accurate speech-to-text. ### Video Subtitling and Social Clips Generate accurate, time-efficient captions for short-form video creators and post-production editors, turning spoken social content into clean, readable on-screen text. ### Documentary and Archival Research Transcribe historical recordings, field interviews, and oral history archives across diverse global accents and varying recording conditions. ### Global Advertising Localization Translate regional voiceover tracks and international consumer testimonials directly to English text to accelerate multinational campaign reviews. ### Film Dialogue and Indie Post-Production Extract accurate dialogue transcripts from production scratch tracks and location audio to create master subtitle files and edit decision lists. ### Podcast and Editorial Publishing Turn multi-hour spoken audio interviews into clean, readable text ready for editorial indexing, show notes, and article drafting. ## Frequently asked questions ### What is Wizper and how does it relate to Whisper? Wizper is an ultra-optimized serverless implementation of OpenAI's Whisper v3 Large model. It delivers the exact same Word Error Rate (WER) and transcription accuracy as stock Whisper v3 Large (1.55 billion parameters) while running at more than double the inference speed at lower computational cost. ### What audio file formats and constraints are supported? Audio files should be under 25 MB in standard formats such as MP3, AAC, or WAV. For optimal transcription accuracy, use clear mono recordings sampled at 16 kHz or higher, and pre-filter prolonged stretches of dead silence to prevent repetition loops. ### Can the model translate English audio into other languages? No, the translation task is strictly unidirectional from foreign languages into English. The model can transcribe spoken speech in nearly 100 native languages, but its translation mode is designed solely to translate non-English speech directly into English text. ### Does Whisper distinguish between multiple speakers? No, the model does not natively perform speaker diarization or label distinct speakers. It outputs all recognized speech into a continuous, punctuated transcript, so multi-speaker dialogue with heavy overlap may drop words if not separated beforehand. ### How does automatic language detection work? Leaving the language setting on Auto-detect enables automatic language identification across nearly 100 languages. For audio clips shorter than 5 seconds or recordings with phonetically similar dialects, explicitly passing the language code eliminates detection latency and prevents misclassification. ## Try Whisper on Fuser Transcribe multilingual speech with word-level precision or translate spoken audio directly into clean, punctuated English text [Transcribe audio](https://app.fuser.studio) ## Related models - [MiniMax Music 3](https://fuser.studio/models/minimax-music-3.md) - [Lyria 3.5](https://fuser.studio/models/lyria-3-5.md) - [ElevenLabs TTS](https://fuser.studio/models/elevenlabs-tts.md) - [F5 TTS](https://fuser.studio/models/f5-tts.md) - [MMAudio](https://fuser.studio/models/mmaudio.md) - [ElevenLabs SFX](https://fuser.studio/models/elevenlabs-sfx.md) Node reference: [Whisper docs](https://docs.fuser.studio/docs/nodes/audio/whisper.md) ## More articles - [MiniMax Music 3 Prompt Guide: Structured Captions, Section Tags and Song Length](https://fuser.studio/articles/minimax-music-3-prompt-guide.md) - [MiniMax Music 3 vs Music-01: Same Lyrics, Measured Side by Side](https://fuser.studio/articles/minimax-music-3-vs-music-01.md) - [Best AI Video Editing Models: Same Clip, Same Edits](https://fuser.studio/articles/best-ai-video-editing-models.md)