What is the Difference between Transcription and Translation?

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The VMEG Team
Updated: Jun 27, 2025
Translation vs. Transcription: Understanding Each Service
Transcription converts spoken audio into written text, while translation makes that text understandable to other language speakers. Both are essential for video localization, discoverability, and inclusion. Without them, your message remains limited to a single audience. In this article, we’ll explore the difference between transcription and translation, and why both are crucial for unlocking your video’s full potential.

Why Video Accessibility Matters More Than Ever

Modern audiences demand:
  • Language inclusivity: 24% of global consumers won’t buy from sites not in their native language.
  • Compliance: WCAG 2.1 requires accessibility features like captions.
  • Engagement: Dubbed/subtitled videos see 3X longer watch time.But piecemeal solutions fail to bridge gaps effectively.

What is Transcription?

Transcription converts spoken audio (video/recordings/live streams) into text. It’s the foundation of accessible content.

Two Critical Approaches
  1. Verbatim Transcription
    Captures every word, sound effect, and nuance
    Essential for accessibility compliance (supports Deaf/hard-of-hearing audiences)
  2. Non-Verbatim Transcription
    Summarizes key points
    Useful for meeting notes but erases context

Why accuracy matters:
Skipping "umms" or laughter in a training video can alter meaning. True accessibility requires verbatim precision.

What is Translation?

Translation transforms content into a different language, helping you connect with multilingual audiences worldwide. It builds on transcription and enables true global distribution.

Key Formats
  • Subtitles: Translated text displayed on video
  • Dubbing: Replaces original voice/audio
  • Real-time: For livestreams or webinars
Impact
  • Expands reach to 6B+ non-English speakers online
  • Boosts international SEO by 47%. Sites with 10+ language versions observe 45–60% higher organic traffic.
  • Supports hybrid workforces

Transcription vs. Translation: Key Differences

Aspect
Transcription
Translation
Input Type
Spoken language (audio/video)
Text (from transcription or documents)
Output
Same-language written text
Target-language text or audio
Main Purpose
Accessibility, SEO, editing
Localization, international reach
Typical Use Case
Subtitles, transcripts, captions
Dubbing, multilingual subtitles

Why Traditional Solutions Fall Short

Many teams still rely on traditional solutions for transcription and translation such as in-house efforts, basic automation tools, or a patchwork of specialized services. While each has its advantages, they often come with major drawbacks.

In-house teams may save money but lack accuracy and cultural sensitivity. Auto-tools are quick and affordable but struggle with nuance, tone, and compliance. Fragmented services, meanwhile, create inefficiencies, drive up costs, and make it nearly impossible to maintain a consistent voice across languages and formats.

These limitations can stall your global content strategy before it even begins.

In-House Teams
  • ✅ Low cost
  • ❌ High error rate in verbatim transcription
  • ❌ Lack of cultural/linguistic nuance
Auto-Tools
  • ✅ Fast and cheap
  • ❌ Miss accents, slang, or tone
  • ❌ Can’t meet accessibility standards
Fragmented Services
  • Using separate tools for transcription, translation, dubbing
  • ❌ Costly, inefficient
  • ❌ Inconsistent tone and brand voice

The VMEG Solution: All-in-One Excellence

VMEG streamlines the entire process from transcription to dubbing in one AI-powered interface. It lets you upload, transcribe, translate, edit, and export. Bonus: it even supports lip-syncing in dubbed videos, something Google Translate and YouTube don’t offer.
Intelligent Transcription Engine

Converts video/audio to text with VMEG by up to 99% accuracy. Choose between full verbatim or a cleaner, summarized version depending on your needs. Built-in speaker detection and timestamping make it easy to follow who said what, and when—perfect for subtitles, meeting notes, or content repurposing.
Supports:
  • Verbatim & non-verbatim modes
  • Speaker detection
  • Timestamping
AI-Powered Translation Suite

Reach audiences around the world with rich, expressive voiceovers in 170+ languages, crafted to reflect the tone, pacing, and emotion of your original content. Subtitles? They’re translated and perfectly timed, no fiddling required. And if you're working with audio-only formats like podcasts or interviews, translating them across languages is also smooth.
  • Dubbing: Natural 7000+ AI voices in 170+ languages with voice styles tailored to match tone, emotion, and context.
  • Subtitle localization: Auto-sync subtitle translations fully automated and precisely synced with your video’s timing, making multilingual content creation faster and more accurate.
  • Audio-only translation: perfect for podcasts, interviews, and voice-driven content across languages.

Conclusion: The Future is Unified

While transcription turns speech into text and translation converts that text into new languages, the real power lies in combining both. They serve different but equally essential roles: transcription ensures clarity and accessibility, while translation enables global reach and engagement. In today’s content-driven world, using only one means leaving opportunities on the table.
The VMEG Team
Behind VMEG stands a passionate team of creatives, engineers, and language lovers. At the crossroads of AI and storytelling, they craft tools that bridge languages and cultures.
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