Speechify
FreemiumListen to any text at up to 4.5x speed using natural AI voices — the world's most popular TTS app.
What is Speechify?
Speechify is the world's most widely used text-to-speech application, trusted by over 55 million users including students, professionals, and people with dyslexia or visual impairments. It can read aloud any text from PDFs, web articles, Google Docs, emails, books, and more, using natural-sounding AI voices at speeds up to 4.5x. Speechify's AI voice generator lets creators and marketers produce professional voiceovers and dubbed content, while its voice cloning feature allows individuals to generate audio in their own voice. Available on iOS, Android, Chrome, Mac, and Windows, Speechify is one of the most cross-platform AI audio tools available today, making it ideal for on-the-go listening and accessibility use cases.
Key Features
How to Use Speechify
✅ Best For
- Students and heavy readers who want to consume books PDFs and research papers faster using AI narration
- People with dyslexia or visual impairments who need a reliable cross-platform text-to-speech companion on all devices
- Content creators who want to produce professional voiceovers and dubbed videos using their own cloned voice
- Professionals who need to review long documents, contracts, and reports while commuting or multitasking
- Teachers and educators who want to convert written course materials into accessible audio for their students
❌ Not For
- Users who need to generate original AI music or song compositions rather than spoken word audio
- Creators looking for a video editing suite alongside their text-to-speech workflow
- Developers who need a robust real-time TTS API for integration into production applications
Reviews
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Pricing
- ✓Standard voices
- ✓limited speed
- ✓200+ AI voices
- ✓4.5x speed
- ✓offline mode
- ✓Voice cloning
- ✓AI voiceover studio
- ✓dubbing
Prompts to Try
Read this 50-page PDF report aloud while I commute
Create a voiceover for my YouTube video in my cloned voice
Convert this blog post to a podcast-style audio file