# Rev vs Whisper (OpenAI)

Rev enregistre 1 524 237 visites mensuelles avec une croissance mensuelle de -12,9 % et un modèle tarifaire Tarifs sur demande. Whisper (OpenAI) enregistre 0 visites mensuelles avec une croissance de — et un modèle tarifaire Gratuit.

| Métrique | [Rev](https://openaitools.app/fr/tool/rev) | [Whisper (OpenAI)](https://openaitools.app/fr/tool/whisper-github) |
| :--- | :--- | :--- |
| URL du site web | https://www.rev.com | https://github.com/openai/whisper |
| Catégories | Transcription audio IA, Transcription IA, IA Audio vers Texte, Générateur de légendes par IA | Reconnaissance vocale IA, Transcription audio IA, Transcripteur IA, Traduction IA |
| Modèle tarifaire | Tarifs sur demande | Gratuit |
| Visites mensuelles | 1 524 237 | 0 |
| Taux de croissance mensuel | -12,9 % | — |
| Marché principal | États-Unis | Global |
| Visites directes | 885 575 | 0 |
| Score d'avis | 4,4 | 4,8 |
| Nombre d'enregistrements | 2 | 3 |
| Plateformes prises en charge | Site web | Open source |

## Rev

Rev is a speech-to-text and investigative intelligence platform that combines fast AI transcription, captions and subtitles with human-verified services and legal-grade tooling. Legal, law-enforcement and media teams upload recordings, documents and photos into a secure case workspace where Rev transcribes everything, answers questions across all files with citations, drafts documents and exports polished transcripts for court or publication.

**Tarifs et offres:** Contact for pricing. Rev offers a free trial with no credit card required, self-service AI transcription and captioning at published per-minute rates, and a public pricing calculator that estimates human and AI transcript, caption and subtitle costs. Legal and investigative platform plans are enterprise-oriented and quoted per organisation, while human transcription is priced by turnaround speed and audio length.

- **Multi-file evidence analysis:** Upload recordings, reports, PDFs and photos into a single case, ask questions across every file and get answers cited back to the source.
- **Document editor and drafting:** Turn findings into memos, outlines or motions inside Rev, edit inline and export straight to Word or PDF.
- **Image analysis:** Flag inconsistencies across case photos automatically, with every finding linked to the exact image it came from.
- **AI and human transcription:** Clean, searchable transcripts for body cam, calls and interviews, generated by AI in minutes or by humans at 99%+ accuracy, with inline editing and clipping.
- **Captions, subtitles and developer API:** Captions and subtitles for video distribution and accessibility, plus a speech-to-text API for developers who want to build Rev's engine into their own products.

**Forces:** Rare combination of AI speed and human-verified accuracy at 99%+ in one platform; Purpose-built legal and investigative workflow that cites every answer back to the source file; Broad format support: audio, video, Word, PDF and images handled in the same case workspace; Established trust with 2,000+ law firms and agencies, with SOC 2 Type II auditing

**Limites:** Human transcription and captions cost considerably more than pure DIY AI tools; The product has shifted heavily toward legal and investigative teams, so general creators may find the current framing intimidating; Very long files and specialised legal formats can still need manual review; Enterprise legal features and human services are quote-based, so pricing requires contacting sales

[Profile (Markdown)](https://openaitools.app/fr/tool/rev.md)

## Whisper (OpenAI)

Whisper is OpenAI's open-source, general-purpose automatic speech recognition (ASR) model. Released as a Transformer sequence-to-sequence system trained on large-scale weakly supervised audio, it handles multilingual transcription, speech translation into English, and spoken language identification from a single set of weights. The code, model weights and command-line tools are published on GitHub under the MIT license, so anyone can run local transcription without paying per minute.

**Tarifs et offres:** Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

- **Multitask single model:** One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
- **Multiple model sizes:** Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
- **Broad language coverage:** Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
- **Command-line and Python API:** Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
- **Permissive MIT license:** Freely embed, modify and redistribute the code and weights in commercial and personal projects without licensing fees.

**Forces:** Completely free and open source under a permissive MIT license; Strong multilingual accuracy across many languages with automatic detection; Runs locally, so audio never has to leave your hardware; Several model sizes let you match accuracy to available compute

**Limites:** No hosted UI, account or support — you must install and operate it yourself; Large models need substantial VRAM and a GPU for reasonable speed; Accuracy drops noticeably on low-resource languages and noisy audio; Setup requires Python, PyTorch and ffmpeg, which can be fiddly for non-developers

[Profile (Markdown)](https://openaitools.app/fr/tool/whisper-github.md)

## Questions fréquentes

### Comment Rev et Whisper (OpenAI) se comparent-ils en termes de trafic mensuel ?

Rev enregistre 1 524 237 visites mensuelles, tandis que Whisper (OpenAI) enregistre 0. Les estimations de trafic décrivent la taille de l'audience, pas la qualité du produit.

### Comment leurs taux de croissance se comparent-ils ?

Rev a un taux de croissance mensuel de -12,9 % ; Whisper (OpenAI) a —.

### Comment les tarifs se comparent-ils ?

Rev : Tarifs sur demande. Contact for pricing. Rev offers a free trial with no credit card required, self-service AI transcription and captioning at published per-minute rates, and a public pricing calculator that estimates human and AI transcript, caption and subtitle costs. Legal and investigative platform plans are enterprise-oriented and quoted per organisation, while human transcription is priced by turnaround speed and audio length. Whisper (OpenAI) : Gratuit. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

## Alternatives

| # | Nom de l'outil | Visites mensuelles | Taux de croissance mensuel | Modèle tarifaire | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [TurboScribe](https://openaitools.app/fr/tool/turboscribe-ai) | 27 661 771 | +2,1 % | Freemium | Transcription audio et vidéo rapide et illimitée avec une haute précision, mais manque de services de transcription vérifiés par des humains. | [.md](https://openaitools.app/fr/tool/turboscribe-ai.md) |
| 2 | [Otter AI](https://openaitools.app/fr/tool/otter-ai) | 7 360 981 | +9,6 % | Freemium | Optimisé pour l'enregistrement de réunions en direct, la transcription en temps réel et les résumés automatisés plutôt que le téléchargement de fichiers en masse. | [.md](https://openaitools.app/fr/tool/otter-ai.md) |
| 3 | [Fireflies.ai](https://openaitools.app/fr/tool/fireflies-ai) | 4 411 502 | +3 % | Freemium | L'équipier IA qui enregistre, transcrit et résume chaque réunion | [.md](https://openaitools.app/fr/tool/fireflies-ai.md) |
| 4 | [Happy Scribe](https://openaitools.app/fr/tool/happyscribe-com) | 4 088 330 | +8 % | Freemium, Essai gratuit, Payant | Transcription et comptes rendus IA en plus de 150 langues | [.md](https://openaitools.app/fr/tool/happyscribe-com.md) |
| 5 | [Descript](https://openaitools.app/fr/tool/descript) | 3 267 817 | +11,1 % | Freemium, Payant | Permet de modifier des fichiers audio et vidéo en éditant directement les transcriptions textuelles, en plus d'un clonage vocal IA puissant. | [.md](https://openaitools.app/fr/tool/descript.md) |
| 6 | [Notta](https://openaitools.app/fr/tool/notta) | 2 585 354 | +2 % | Freemium, Payant, Tarifs sur demande | Strong meeting transcription and note-taking app with great calendar integration and mobile apps. | [.md](https://openaitools.app/fr/tool/notta.md) |
| 7 | [tl;dv](https://openaitools.app/fr/tool/tldv-io) | 1 396 729 | +1,9 % | Freemium | Le preneur de notes IA qui enregistre, résume et transforme les réunions en actions | [.md](https://openaitools.app/fr/tool/tldv-io.md) |
| 8 | [Maestra AI](https://openaitools.app/fr/tool/maestra-ai) | 1 340 377 | +0,7 % | Free Trial, Subscription, Pay As You Go, Custom Enterprise | Multilingual transcription, voiceover, and subtitle generation platform designed for global media content creators. | [.md](https://openaitools.app/fr/tool/maestra-ai.md) |
| 9 | [Video Transcriber AI](https://openaitools.app/fr/tool/video-transcriber-ai) | 1 320 064 | +11 % | Freemium | Transformez n'importe quelle vidéo ou audio en texte en quelques secondes | [.md](https://openaitools.app/fr/tool/video-transcriber-ai.md) |
| 10 | [Deepgram Voice AI](https://openaitools.app/fr/tool/deepgram-voice-ai) | 863 852 | +31,8 % | Essai gratuit | Reconnaissance vocale, synthèse vocale et agents vocaux en temps réel sur une seule plateforme API | [.md](https://openaitools.app/fr/tool/deepgram-voice-ai.md) |

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Source : https://openaitools.app/fr/compare/rev-vs-whisper-github

More Markdown: [Catégories](https://openaitools.app/fr/categories.md) · [Classements de trafic](https://openaitools.app/fr/rankings.md) · [llms.txt](https://openaitools.app/fr/llms.txt)