Automated Accessibility Content Generation
For educational institutions with 10K+ learning resources. Auto-generate alt text, captions, and transcripts. 95% accessibility compliance, 80% cost reduction.
Universities, K-12 districts, and EdTech platforms who need to make large content libraries accessible while meeting WCAG, Section 508, and ADA requirements
Making educational content accessible requires expensive manual work - $5-15 per image for alt text, $2-4 per minute for captions. Most institutions have backlogs of thousands of inaccessible resources
Ready to implement?
Why Mixpeek
95% accessibility compliance achievement, 80% cost reduction vs manual accessibility work, and automatic remediation of content backlogs
Overview
Educational accessibility is a legal requirement and ethical imperative. This use case shows how Mixpeek automates accessibility content generation at scale.
Challenges This Solves
Content Backlog
Thousands of images and videos lacking accessibility features
Impact: Legal compliance risk, excluded students
Manual Costs
Alt text and captions cost $5-15 per item
Impact: Accessibility budgets cannot cover all content
Ongoing Creation
New content created daily without accessibility
Impact: Backlog grows faster than it can be remediated
Quality Variance
Manual descriptions vary in quality and detail
Impact: Inconsistent accessibility experience
Implementation Steps
Mixpeek analyzes images, videos, and documents to automatically generate contextually accurate alt text, closed captions, transcripts, and audio descriptions
Audit Existing Content
Identify content lacking accessibility features
import { Mixpeek } from 'mixpeek';const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });// Audit content library for accessibility gapsconst audit = await client.accessibility.audit({bucket_uri: 's3://learning-content/',checks: ['images_without_alt','videos_without_captions','pdfs_without_tags','audio_without_transcript'],report_format: 'wcag_2_1_aa'});console.log(`Found ${audit.total_issues} accessibility issues:`);console.log(`- Images without alt text: ${audit.images_without_alt}`);console.log(`- Videos without captions: ${audit.videos_without_captions}`);console.log(`- PDFs without structure: ${audit.pdfs_without_tags}`);
Generate Alt Text
Auto-generate contextual image descriptions
// Generate educational alt text for imagesasync function generateAltText(imageUrl: string, context?: {course_subject?: string;surrounding_text?: string;educational_level?: string;}) {const alt = await client.accessibility.generateAltText({url: imageUrl,style: 'educational',context: context,settings: {max_length: 150,include_educational_context: true,describe_charts_data: true,describe_diagrams_labels: true}});return {alt_text: alt.text,extended_description: alt.extended, // For complex imagesconfidence: alt.confidence,image_type: alt.detected_type // photo, chart, diagram, etc.};}
Generate Captions and Transcripts
Auto-caption videos and transcribe audio
// Generate captions for educational videosasync function generateCaptions(videoUrl: string, options?: {speaker_labels?: boolean;technical_vocabulary?: string[];output_format?: 'vtt' | 'srt' | 'txt';}) {const captions = await client.accessibility.generateCaptions({url: videoUrl,settings: {speaker_diarization: options?.speaker_labels ?? true,custom_vocabulary: options?.technical_vocabulary,timing_precision: 'word', // Word-level timestampsauto_punctuation: true},output_format: options?.output_format ?? 'vtt'});return {caption_file: captions.file_url,transcript_text: captions.plain_text,duration_minutes: captions.duration,word_count: captions.word_count,confidence: captions.avg_confidence};}
Batch Remediate Backlog
Process entire content library for accessibility
// Batch process accessibility backlogasync function remediateBacklog(bucketUri: string) {const job = await client.accessibility.batchRemediate({bucket_uri: bucketUri,operations: [{content_type: 'image',action: 'generate_alt_text',apply_to: 'missing_only'},{content_type: 'video',action: 'generate_captions',apply_to: 'missing_only',format: 'vtt'},{content_type: 'audio',action: 'generate_transcript',apply_to: 'all'},{content_type: 'pdf',action: 'add_structure_tags',apply_to: 'missing_only'}],webhook_url: 'https://your-lms.edu/api/accessibility-complete'});return {job_id: job.id,estimated_items: job.total_items,estimated_completion: job.eta};}
Feature Extractors Used
Image Captioning
Generate descriptive captions for images automatically
Speech to Text
Convert speech content to text with timestamps and confidence scores
Object Detection
Identify and locate objects within images with bounding boxes
Scene Classification
Categorize images based on scene type (indoor, outdoor, etc.)
Retriever Stages Used
Expected Outcomes
From 40% to 95%+ WCAG 2.1 AA compliance
Accessibility Compliance
80% reduction vs manual accessibility work
Cost Reduction
Process 10K+ items per day vs 100/day manual
Backlog Clearance
92% rated "good" or "excellent" by reviewers
Alt Text Quality
97% accuracy for clear audio content
Caption Accuracy
Frequently Asked Questions
Related Resources
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