# Rev vs Whisper (OpenAI)

Rev records 1,524,237 monthly visits with -12.9% month-over-month growth and Contact for Pricing pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Rev](https://openaitools.app/tool/rev) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://www.rev.com | https://github.com/openai/whisper |
| Categories | AI Speech-to-Text, AI Transcription, Audio To Text AI, AI Caption Generator | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 1,524,237 | 0 |
| MoM Growth Rate | -12.9% | — |
| Primary Market | United States | Global |
| Direct Visits | 885,575 | 0 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 2 | 3 |
| Supported Platforms | Website | Open Source |

## Rev

Rev began as a way to turn audio and video into accurate text fast, and it still does that: upload a recording and get a transcript, add captions or subtitles to video, or hand the job to human transcriptionists when accuracy has to be guaranteed. What has changed is where the product now points. Rev has repositioned around an investigative intelligence and legal platform, aimed at prosecutors, defence teams, law enforcement, civil litigators and court-reporting agencies.

The core of that platform is a case workspace. Teams bring body cam footage, jail calls, interrogations, depositions, reports, Word documents, PDFs and photos into one secure place; Rev transcribes every recording, then lets users ask questions across all of that material at once. Every answer cites the file and passage it came from, which matters when a finding has to stand up in court. Image analysis flags inconsistencies across case photos, and the document editor turns a finding into a memo, outline or motion that exports to Word or PDF.

Alongside the AI platform, Rev retains its long-standing human-verified services — human transcription at 99%+ accuracy, human captions in English and Spanish, legal rough draft and premium transcripts, court reporting and global subtitles in 17 languages — and its rev.ai speech-to-text API for developers. Data handling is a stated priority, with SOC 2 Type II auditing and a commitment that customer data is not used to train third-party large language models.

**Pricing & Plans:** 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.

**Strengths:** 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

**Limitations:** 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/tool/rev.md)

## Whisper (OpenAI)

Whisper was introduced by OpenAI as a general-purpose speech recognition model trained on a very large, diverse dataset of web audio. Instead of stacking separate acoustic, language and punctuation modules, it treats every speech task as a token prediction problem: transcription, translation, language identification and voice activity detection all share one Transformer encoder-decoder and are distinguished by special task tokens. That single-model design is why a straightforward `pip install` is enough to get multilingual transcription running on a laptop, and why Whisper has become a de facto baseline for open speech-to-text work.

The repository ships six model sizes — tiny, base, small, medium, large and a faster turbo variant — trading accuracy for memory and speed. Each size also has an English-only `.en` counterpart that tends to score better on English audio, while the multilingual checkpoints are the ones to use when translating non-English speech into English. Practical VRAM needs range from roughly 1 GB for tiny up to about 10 GB for large, so the smaller checkpoints run comfortably on consumer hardware or even CPU, while large models are usually paired with a GPU.

Because Whisper is a model and a Python package rather than a hosted product, there is no dashboard, account or quota. You install it, point the command line at audio files, and write your own integration on top. It supports many audio formats through ffmpeg, and its per-language accuracy varies widely — strong for high-resource languages, weaker for low-resource ones — which is worth knowing before adopting it for production transcription.

**Pricing & Plans:** 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.

**Strengths:** 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

**Limitations:** 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/tool/whisper-github.md)

## Frequently Asked Questions

### How do Rev and Whisper (OpenAI) compare in monthly traffic?

Rev has 1,524,237 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Rev has a month-over-month growth rate of -12.9%; Whisper (OpenAI) has —.

### How does pricing compare?

Rev: Contact for Pricing. 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): Free. 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

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [TurboScribe](https://openaitools.app/tool/turboscribe-ai) | 27,661,771 | +2.1% | Freemium | Fast, unlimited audio and video transcription with high accuracy, but lacks human-verified transcription services. | [.md](https://openaitools.app/tool/turboscribe-ai.md) |
| 2 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | Optimized for live meeting recording, real-time transcription, and automated summaries rather than bulk file uploads. | [.md](https://openaitools.app/tool/otter-ai.md) |
| 3 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 4 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | AI transcription and meeting notes in 150+ languages | [.md](https://openaitools.app/tool/happyscribe-com.md) |
| 5 | [Descript](https://openaitools.app/tool/descript) | 3,267,817 | +11.1% | Freemium, Paid | Allows editing audio and video files by editing text transcripts directly, plus powerful AI voice cloning. | [.md](https://openaitools.app/tool/descript.md) |
| 6 | [Notta](https://openaitools.app/tool/notta) | 2,585,354 | +2% | Freemium, Paid, Contact for Pricing | Strong meeting transcription and note-taking app with great calendar integration and mobile apps. | [.md](https://openaitools.app/tool/notta.md) |
| 7 | [tl;dv](https://openaitools.app/tool/tldv-io) | 1,396,729 | +1.9% | Freemium | AI meeting notetaker that records, summarizes and turns calls into action | [.md](https://openaitools.app/tool/tldv-io.md) |
| 8 | [Maestra AI](https://openaitools.app/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/tool/maestra-ai.md) |
| 9 | [Video Transcriber AI](https://openaitools.app/tool/video-transcriber-ai) | 1,320,064 | +11% | Freemium | Turn any video or audio into text in seconds | [.md](https://openaitools.app/tool/video-transcriber-ai.md) |
| 10 | [Deepgram Voice AI](https://openaitools.app/tool/deepgram-voice-ai) | 863,852 | +31.8% | Free Trial | Real-time speech-to-text, text-to-speech and voice agents in one API platform | [.md](https://openaitools.app/tool/deepgram-voice-ai.md) |

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

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