A global streaming company just received a notice from German regulators about their video platform. The issue? Missing captions and audio descriptions that violate accessibility standards. With the European Accessibility Act (EAA) taking effect June 28, 2025, this scenario will become common for businesses unprepared for the new requirements.
The challenge isn't just legal compliance. It's technical execution. How do you actually make thousands of hours of audio and video content accessible? What tools work at scale? Which workflows prevent bottlenecks when deadlines approach?
What Is the European Accessibility Act?
The European Accessibility Act is EU legislation requiring businesses to make digital products and services accessible to people with disabilities. It applies to companies operating in or serving customers within the 27 EU member states, with enforcement beginning June 28, 2025.
The Audio-Video Compliance Reality Check
Most businesses underestimate the audio-video accessibility challenge. You're not just adding captions to a few marketing videos. The EAA covers:
- Streaming platforms: Every video needs captions, audio descriptions, and keyboard navigation
- E-learning systems: Course videos require transcripts and synchronized subtitles
- Corporate communications: Internal training videos, webinars, and recorded meetings
- Product demonstrations: Software tutorials and onboarding videos
- Customer support: Video help guides and troubleshooting content
The technical requirements are specific. Captions must be synchronized within 40 milliseconds. Audio descriptions need precise timing between dialogue. Transcripts require speaker identification for multi-person content.
Small businesses (under 10 employees, €2 million annual revenue) are exempt, but everyone else faces penalties ranging from €200,000 in Sweden to €500,000 in Germany.
How Leading Companies Handle Video Accessibility at Scale
I've analyzed how three types of organizations approach EAA compliance for their video content:
Enterprise Software Companies typically use a hybrid approach. They rely on Rev or 3Play Media for high-stakes content like product launches, paying premium rates ($1-3 per minute) for human accuracy. For internal training videos, they've switched to AI transcription tools like Scriptivox, which processes hours of content in minutes at $0.20 per hour.
Media and Broadcasting companies often use Descript for content creation workflows, since editors can cut video by editing text. However, Descript's transcription accuracy varies with audio quality, and it lacks the bulk processing capabilities needed for archive content. Many supplement with dedicated transcription platforms for volume work.
Educational Institutions frequently use Otter.ai for live lecture capture, but struggle with post-processing. Otter's export options are limited, and formatting transcripts for accessibility compliance requires manual cleanup. Universities handling multilingual content need platforms supporting 100+ languages with consistent quality.
The pattern? No single tool handles every use case. Successful organizations build workflows combining automated transcription, selective human review, and streamlined export processes.
Step-by-Step: Making Your Video Content EAA-Compliant
Here's the workflow I use for processing video content at scale. This covers the technical steps from raw video files to compliant captions and transcripts.
Step 1: Inventory and Prioritize Content
Start with an audit. List all video content by:
- Public-facing priority: Customer-facing content gets reviewed first
- Language requirements: Identify non-English content needing specialized handling
- Speaker complexity: Multi-speaker content requires additional processing time
- File formats and quality: Poor audio quality needs preprocessing
Most teams discover they have 3-5x more video content than expected once they include webinar recordings, internal training, and archived presentations.
Step 2: Process Audio-Video Files for Transcription
Before transcription, ensure your files are properly formatted. Upload your video files to Scriptivox or extract audio using a converter tool if needed.
For bulk processing:
- Upload files directly or paste URLs from Google Drive, Dropbox, or direct links
- Enable speaker identification if multiple people appear in your content
- Select language detection (auto-detect works for most content, but manual selection ensures accuracy for technical terminology)
- Enable word-level timestamps for precise caption synchronization
The processing time varies by length, but I typically see 2-hour videos transcribed in under 4 minutes with 95%+ accuracy for clear audio.
Step 3: Generate Compliant Caption Files
Once transcription completes:
- Review speaker labels: Rename "Speaker 1" and "Speaker 2" to actual names
- Export SRT or VTT files for video platforms
- Verify timestamp accuracy: Spot-check that captions sync within the 40-millisecond requirement
- Test caption display: Upload to your video platform and verify readability
For accessibility compliance, SRT files need proper formatting with no more than 32 characters per line and maximum 2-second display duration per caption.
Step 4: Create Accessible Transcripts
Beyond captions, the EAA requires downloadable transcripts. Export your transcriptions as:
- PDF format for document accessibility (includes proper heading structure)
- DOCX format for easy editing and formatting
- TXT format for screen reader compatibility
Include speaker names, timestamps for reference, and brief descriptions of relevant visual elements ("[Presenter shows product dashboard]" or "[Chart displays Q3 results]").
Step 5: Bulk Processing and Quality Control
For organizations with hundreds of video files, manual processing isn't feasible. Set up automated workflows:
- Batch upload files using folder organization
- Apply consistent settings across similar content types
- Export in bulk as ZIP files containing all caption and transcript formats
- Spot-check accuracy on a sample of processed files
I typically review 10-15% of automatically processed files, focusing on content with technical terminology or multiple speakers.
The Hidden Costs of Non-Compliance
Beyond regulatory fines, accessibility violations create operational problems:
Customer Support Burden: Without proper captions and transcripts, support teams field more questions about video content. I've seen companies reduce video-related support tickets by 40% after implementing comprehensive accessibility features.
Market Access Limitations: Many enterprise customers now require accessibility compliance for vendor relationships. Missing certifications can disqualify you from contracts worth millions.
SEO and Discoverability: Search engines index caption text, improving video discoverability. Accessible content typically performs better in search results.
Content Localization Efficiency: Accurate transcripts accelerate translation workflows for international markets. Teams report 60% faster localization when working from quality transcripts versus raw audio.
Planning Your EAA Timeline
With six months until the June 2025 deadline, here's a realistic implementation schedule:
Months 1-2: Complete content audit and prioritize public-facing videos. Process high-priority content and establish workflows.
Months 3-4: Handle internal training videos, webinars, and archived content. Train team members on accessibility workflows.
Months 5-6: Quality review, compliance testing, and documentation. Prepare for ongoing maintenance processes.
Most organizations underestimate the time needed for quality review and workflow refinement. Start with a small batch of representative content to identify potential issues before processing your entire video library.
The key is building sustainable processes now rather than rushing to meet the deadline. Teams that establish efficient workflows early can handle ongoing content accessibility as part of their regular production process.
You can test these workflows free at Scriptivox to see how automated transcription fits into your accessibility compliance strategy.
Frequently Asked Questions
About the author
Arsh co-founded Scriptivox and built the core of what it runs on: the AI models, the API, the meeting bot, and the technical infrastructure that keeps transcripts accurate at scale. He also handles customer support directly, because the people building the product should be the ones talking to the people using it. He writes about real transcription workflows for legal, research, and content teams, grounded in the systems he ships and maintains himself.
