
概览
主要功能
- 文本语音生成
- 多人对话创作
- 情感和语气调节
- 多种语音选项
- 媒介项目中的音频导出
- 脚本语音分配
价格
- 模型
- Free
- 分类
- AI
- 评分
- 4.8 / 5 (4)
使用场景
播客和访谈制作
通过将不同语音分配到脚本每行中并调整情感以获得自然的表达方式,生成多人对话播客剧集或模拟电话专访。
在线学习讲义
使用语气调节创造让学员在长期课程中保持注意力的吸引力讲义,
视频和原型中语音播报
在早期阶段原型中创造解说视频、广告或导出的语音播报,
可访问性和 audiobook
将写好的文章、文档或图书转换为有吸引力的自然语音以支持视力障碍的用户或听众。
优点 & 缺点
优点
- 对话场景中的多人支持
- 情感和语气控制以创造出表达性的输出
- 适用于视频、播客和在线学习
- 自然流畅的 AI 语音
缺点
- 质量可能会因语言和口音而异
- 情感控制可能需要尝试和错误
- 有限的离线或自我托管选项
- 长脚本可能需要谨慎排版
评测
4 个评分的平均值。
登录以留下评测。
Solid for our team
We rolled this out across the team last quarter and multi-speaker support for dialogue scenes. Audio export for media projects fits neatly into how we already work, and emotion and tone adjustment removed a step we used to do by hand. Quality may vary across languages and accents, which is the main caveat, but it has held up under daily use.
Use it every day
Honestly didn't expect to like it this much. Audio export for media projects is exactly what I needed, and natural-sounding AI voices. but I reach for it almost every day now and it just clicks.
Solid for our team
We rolled this out across the team last quarter and multi-speaker support for dialogue scenes. Audio export for media projects fits neatly into how we already work, and text-to-speech voice generation removed a step we used to do by hand. but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and natural-sounding AI voices. Multiple voice options fits neatly into how we already work, and multiple voice options removed a step we used to do by hand. but it has held up under daily use.
问答
What is text to speech AI?
Text to speech AI converts written text into natural-sounding spoken audio using deep learning models trained on real human voice recordings. Unlike older rule-based TTS that produces flat, robotic output, modern AI text to speech models learn natural prosody, intonation, and rhythm from training data — generating speech that sounds like a real person reading your script. AI TTS is used in podcasts, e-learning, audiobooks, video narration, customer service, and any application where recorded human voice was previously required.
Asked by Elif Yildiz · Oct 24, 2025
What makes this different from other text to speech tools?
Most AI voice generators give you a small set of generic voices. Text to Speech AI is built around real celebrity and character voices — pick an iconic voice from a library of 1,000+ options and hear your script read back in it. You can also clone your own voice from a short recording, or design a brand-new voice from a plain-text description. Multi-speaker dialogue with inline Audio Tags is still there when you need a full conversation — but the core difference is the range of distinctive voices you can speak in, not just another single-voice reader.
Asked by Dumisani Ndlovu · Oct 16, 2025
What are Audio Tags and how do I use them?
Audio Tags are inline markers you insert into your script text that instruct the AI how to deliver that line. Six categories are available: emotion (excited, sad, angry, fearful), delivery (whispers, shouting), nonverbal (laughing, crying, sighs), sound effects (phone ringing, door knocking, applause), accent, and pacing. Write them directly in your script — for example: 'I can’t believe this happened. [shocked] We’re going to be late.' The AI incorporates the tag as part of the speech generation, not as a post-process audio layer.
Asked by Pierre Dubois · Sep 11, 2025
Can I design a completely new voice?
Yes. In Voice Design mode, describe the voice you want in plain words — its age, gender, tone, accent, or character — and the tool generates a brand-new voice to match. It is a way to create an original voice that does not exist yet, then use it to read any script. You can generate several options and keep the one that fits your content best.
Asked by Rania Nasser · Sep 2, 2025
What is multi-speaker dialogue text to speech?
Multi-speaker dialogue TTS generates a conversation with different voices assigned to different speakers — all synthesized as one audio file. You write the script line by line, assign an AI voice to each speaker, and generate. The AI produces natural conversational flow, shared emotional context, and realistic pacing between speakers. This is fundamentally different from recording separate single-voice tracks and manually stitching them together in an audio editor.
Asked by Renata Silva · Aug 17, 2025
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