List of Best

Sonix

Transcribe and translate audio and video to 53+ languages

Sonix transcribes and translates audio and video to over 53 languages. Fast, accurate AI-powered translation with an easy-to-use editor.

From $5/mo Verified Jun 2026

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Sonix homepage screenshot

Pricing

Premium
$5/hour
  • $5 per hour of audio
Pay-as-you-go
$10/hour
  • $10 per hour of audio

Pricing from the official site, verified Jun 2026. Always confirm current prices on the vendor site.

Pros & cons

Our analysis

Pros

  • Supports 53+ languages
  • API available for custom pipelines
  • Integrates with Dropbox, Drive, Box, Zapier
  • Built-in editing interface

Cons

  • No free tier
  • Paid from $5 per hour
  • Cost scales with volume

What users say

Sonix is commonly used for transcribing and translating audio and video content across more than 53 languages. A frequently noted strength is its editing interface combined with integrations for cloud storage and automation. A common limitation is the absence of a free tier, with costs accumulating for high-volume transcription work.

Editorial summary based on public information.

Best for

Content teams needing multilingual transcription and translation

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Feature
Sonix
Felo Translator
PricingPaidFreemium
Price from$5/mo
Free tierNoYes
APIYesYes
Open sourceNoNo
PlatformsWebDesktop
ModelsSonixSubtitles
Context window128k
Launched20172024
LanguagesArabic, Belarusian, Bulgarian +27 moreJapanese, English, Chinese
IntegrationsZapier, Dropbox, Google Drive +1 moreGoogle Meet, Zoom, MS Teams +3 more
Output formatsMP3, WAV, M4A +8 more.txt

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Tags: 33across Accurate Transcription Adobe Media Optimizer Adroll Affordable Transcription Ai Ai-powered Transcription Artificial Intelligence

Verified Jun 2026

Specs

PricingPaid
Price from$5/mo
Free tierNo
APIYes
Open sourceNo
PlatformsWeb
ModelsSonix
LanguagesArabic, Belarusian, Bulgarian, Bengali, Catalan, Czech +24 more
IntegrationsZapier, Dropbox, Google Drive, Box
Output formatsMP3, WAV, M4A, FLAC, OGG, WMA +5 more
Context window128k
Launched2017