Rev AI专注于开发者平台的语音转文字 API,提供高效大规模准确的转录服务。

4.5 (6)

审阅者 Daniel Nikulshyn·更新 2026年7月

Speech-to-Text API Developer Tools Real-Time Transcription Voice AI Pay-As-You-Go

概览

Rev AI 是一个基于 Rev 大量人工转录音频数据构建的自动语音识别（ASR）平台。它提供 REST 和流式 API，能够将录制或实时音频转换为文本，支持数十种语言和多种音频格式。该服务面向需要将转录、字幕或语音分析嵌入自己产品的开发者和企业。诸如说话人分离、定制词汇、时间戳和置信度分数等功能，帮助团队在语音内容之上构建搜索、无障碍、合规和分析工作流。定价按音频分钟计费，提供免费试用层，并为更高使用量提供折扣，使其既适用于原型开发，也适用于生产部署。

主要功能

异步语音转文字 API
实时流式转录
说话者识别和时间戳
自定义词汇支持
多种语言识别
单词级自信度评分

价格

模型: Freemium
分类: Speech Recognition
评分: 4.5 / 5 (6)

使用场景

将字幕添加到视频平台

使用异步 API 生成准确的转录和时间戳的上传视频，使其支持闭幕字幕并为终端用户提高可访问性。

直播转录会议和活动

集成实时流式 API 在 webinars, conferences 或虚拟会议中显示实时字幕并提供低延迟语音转文字。

联系中心呼叫分析

使用说话者识别和自信度评分来转录客户电话，以为寻找、QA 和合规性分析的通话语音提供动力。

可搜索的播客和媒体档案

使用自定义词汇支持将播客条目和媒体图库转换为文字，使听说的内容可以通过关键字搜索发现。

优点 & 缺点

优点

由人标记数据支持的高转录准确率
支持异步和实时流式 API
说话者识别和自定义词汇支持
清晰的按用量收费

缺点

高音频量时可能产生高成本
与某些更大的云提供商相比较少的语言支持
需要技术集成工作

评测

4.5

6 个评分的平均值。

登录以留下评测。

Olga Ivanova

Apr 21, 2026

Solid for our team

We rolled this out across the team last quarter and speaker diarization and custom vocabulary. Language identification across multiple languages fits neatly into how we already work, and asynchronous speech-to-text API removed a step we used to do by hand. Per-minute costs can add up at high volume, which is the main caveat, but it has held up under daily use.

Joanna Kowalski

Apr 20, 2026

Use it every day

Honestly didn't expect to like it this much. Speaker diarization and timestamps is exactly what I needed, and supports async and real-time streaming APIs. I do wish requires technical integration work, but I reach for it almost every day now and it just clicks.

Camille Laurent

Mar 5, 2026

Does the job

Pretty happy overall. Asynchronous speech-to-text API just works and supports async and real-time streaming APIs. Per-minute costs can add up at high volume can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Devin Walker

Dec 15, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on asynchronous speech-to-text API, and high transcription accuracy backed by human-labeled data caught me off guard. still, I'd recommend giving it a real trial.

Ethan Brooks

Dec 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is asynchronous speech-to-text API — handled better than most — and supports async and real-time streaming APIs. Worth the time if this is your use case.

Grace Okafor

Dec 3, 2025

Solid for our team

We rolled this out across the team last quarter and clear pay-as-you-go pricing. Language identification across multiple languages fits neatly into how we already work, and asynchronous speech-to-text API removed a step we used to do by hand. Per-minute costs can add up at high volume, which is the main caveat, but it has held up under daily use.