Rekam AI

Rekam AI

Rekam AI is an audio workspace for turning text into lifelike speech, transcribing recordings, and cloning custom voices from short samples. You can start with free text-to-speech and speech-to-text tools without a credit card, then scale into premium voices, voice design, and higher-volume production when your workflow needs it. It targets creators who need voiceovers, podcasts, tutorials, audiobooks, and product demos from one platform.

Instead of juggling separate apps for narration and transcription, Rekam bundles the full loop in one interface. Paste a script and pick from a large voice library with male and female English US options plus additional languages. Upload audio for transcription, or feed a few seconds of clean recording to build a cloned voice you can reuse across projects. Paid tiers add monthly credits for premium and custom voice models, priority generation, and unlimited voice clone models.

Podcasters, YouTubers, educators, game developers, and social media creators are the core audience. The site highlights workflows like audiobook narration, batch social clips, NPC dialogue prototyping, and turning lecture notes into listenable courses. Commercial use is included on paid plans for YouTube, podcasts, courses, and marketing assets.

Top Features:
  1. 50+ text-to-speech voices across 9 languages on the free tool page

  2. Voice cloning from 3–10 seconds of audio in MP3, WAV, WebM, M4A, OGG, or FLAC

  3. Desktop text-to-speech runs in your browser so text stays on your device

  4. Download generated speech as high-quality WAV with commercial rights included

  5. Unlimited free speech-to-text alongside paid premium voice credit tiers

  6. Browse and preview voices in a dedicated library before picking one

  7. Multiple TTS backends available via credits, including Kokoro, OpenAI, and ElevenLabs models

Pros:
  1. Free text-to-speech and speech-to-text available without a credit card upfront.

  2. Voice cloning needs only 3–10 seconds of sample audio in common formats.

  3. Commercial use rights are included for real production work on paid plans.

  4. Desktop browser-based TTS keeps text on your device for supported flows.

Cons:
  1. Premium and custom voice output depends on a monthly credit allowance.

  2. Generated files on paid plans are stored for only 72 hours.

  3. No dedicated mobile app; mobile users rely on the cloud API through the browser.

FAQs:

Is Rekam AI free to use?

Yes. Rekam AI offers free text-to-speech and free speech-to-text without requiring a credit card to start. Paid Standard and Premium plans add monthly credits for premium voices, unlimited voice clone models, and priority generation.

What audio formats does Rekam AI support for voice cloning?

Rekam AI accepts MP3, WAV, WebM, M4A, OGG, and FLAC uploads up to 25MB for voice cloning. The site recommends 3–10 seconds of clear audio recorded with minimal background noise.

Does Rekam AI include commercial use rights?

Yes. Rekam AI states that commercial use is included on its paid plans for YouTube voiceovers, podcasts, courses, demos, and marketing assets. The free text-to-speech page also notes full commercial rights on generated audio.

How many languages does Rekam AI text-to-speech support?

Rekam AI lists 9 languages on its free text-to-speech tool with 50+ premium voices. Its about page also references speech generation in 50+ languages for broader voice coverage.

What is the difference between Rekam AI Standard and Premium plans?

Rekam AI Standard costs $8.50 per month and includes 5,000 credits per month for premium and custom voices. Premium costs $19.99 per month and includes 20,000 monthly credits, higher character limits per generation, and is positioned for teams and heavier production schedules.

Do I need a credit card to start with Rekam AI?

No. Rekam AI lets you try free voices and free speech-to-text before paying for a subscription. The pricing page states no credit card is required to start.

Pricing:

Freemium

Tags:

AI Voice Generator
Text to Speech
Voice Cloning

Tech used:

Next.js
Tailwind CSS
Vercel
Cloudflare
Google Analytics
Google Tag Manager
Microsoft Clarity
Font Awesome
Ruby
Discord
GitHub
Emotion

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