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UsedBy.ai
2026 Comparison

Sora vs Synthesia

Data-driven comparison based on 46+ enterprise adoption patterns

Sora

Sora

1
Companies
Video Generation & Editing
Category
Higher Adoption
Synthesia

Synthesia

by Synthesia

45
Companies
Video Generation & Editing
Category
Data Methodology: Adoption data is based on public tech stack disclosures, job postings, case studies, and verified enterprise reports analyzed by UsedBy.ai. Showing 46 verified enterprise adoptions. More data being indexed continuously.

Feature & Adoption Comparison

MetricSoraSynthesia
Enterprise Adoption
1 companies45 companies
Category
Video Generation & EditingVideo Generation & Editing
Pricing Model
SUBSCRIPTIONFREEMIUM
Free Trial
Website
Visit Visit
Decision Guide

Which One Should You Choose?

Based on real enterprise adoption patterns

Sora

Choose Sora if...

  • You're in Streaming & Content (100% of users are)
  • Video content is a priority
Try Sora
Synthesia

Choose Synthesia if...

  • You want the most validated option (45+ enterprises)
  • Video content is a priority
Try Synthesia
UsedBy Exclusive Data

Industry Adoption Patterns

See which industries prefer each tool based on real adoption data

Sora

Sora by Industry

Sora is the go-to choice for Streaming & Content (100% of adopters)

Streaming & Content100%
Synthesia

Synthesia by Industry

Marketing Tech11%
IT Services & System Integration9%
Manufacturing9%
Consumer Goods7%
Telecommunications7%

Sora vs Synthesia: Your Questions Answered

Synthesia leads in enterprise adoption with 45 companies, versus 1 for Sora. This indicates broader market acceptance for Synthesia.
While our data doesn't show companies currently using both tools together, they serve similar purposes and could potentially complement each other.
Sora is particularly strong in Streaming & Content (100% of adopters), while Synthesia dominates in Marketing Tech (11%). Choose based on your industry's prevailing stack.
For startups, consider: Sora offers subscription pricing, while Synthesia uses freemium pricing. Both are validated by enterprise use, ensuring scalability as you grow.

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