Deterministic Test Videos for CI/CD
URL-based video sources for automated testing, CDN configuration, and transcoding pipeline validation.
About API & QA Testing
Video placeholders provide deterministic, URL-based test assets for automated testing pipelines. Unlike real video files that require storage, versioning, and distribution, placeholder videos are generated on-demand from simple URLs. This makes them ideal for CI/CD environments where test data must be consistent, lightweight, and easily accessible. QA teams use placeholder videos to test video upload endpoints, validate transcoding pipelines, verify CDN delivery, and ensure video player functionality across browsers and devices. The deterministic nature of placeholders—requesting the same URL always returns identical content—enables reliable automated tests that don't depend on external video hosting services or file management.
Recommended Resolutions
When to Use Video Placeholders for API & QA Testing
Use video placeholders in automated test suites that validate video processing workflows, CDN configuration testing, and video player integration tests. They're essential for testing video upload APIs, transcoding service validation, adaptive streaming implementations, and video analytics tracking. Placeholders help test error handling—invalid URLs, network failures, timeout scenarios—without depending on external services. They're also valuable for load testing video delivery infrastructure, validating caching behavior, and testing video processing at scale. For QA teams, placeholders enable consistent test data across environments without managing video file repositories.
Quick Start
Use this URL to generate a placeholder video:
https://placeholdervideo.dev/1920x1080HTML Example
<video src="https://placeholdervideo.dev/1920x1080" width="1920" height="1080" controls></video>Fixture Facts
| Approx. MP4 size | 250 KB-450 KB |
| Generation time | about 1-3 seconds uncached; repeat requests should hit cache |
| Video codec | H.264 / AVC, Baseline profile, yuv420p |
| Audio codec | AAC-LC silent stereo, 48 kHz |
| Browser support | Chrome, Edge, Safari, Firefox, iOS Safari, Android Chrome |
Response Headers
Content-Type: video/mp4
Cache-Control: public, max-age=86400, immutable
Accept-Ranges: bytes
Access-Control-Allow-Origin: *
X-RateLimit-Limit: 60 standard / 10 heavy per minuteTechnical Considerations
Placeholder videos are generated server-side using FFmpeg, producing standard MP4 files that are identical for each resolution request. This determinism is crucial for automated testing—the same URL always returns the same file hash, enabling reliable checksum validation and content verification. Most placeholder services implement aggressive caching (CDN-level) to ensure fast response times and reduce server load. The videos use minimal bitrates to keep file sizes small (typically 1-5 MB for 10-second clips), making them practical for high-volume test scenarios. For API testing, placeholders help validate video metadata extraction, thumbnail generation, and format conversion without the overhead of managing test video libraries.
Common Questions
- Are placeholder videos suitable for load testing?
- Yes. Placeholder videos are ideal for load testing video delivery infrastructure because they're lightweight, deterministic, and don't require file storage. However, ensure your load testing tool can handle video streaming properly—some tools may not simulate realistic video playback behavior.
- Can I use placeholders to test video transcoding?
- Placeholders work well for testing transcoding pipelines, but keep in mind they're already compressed MP4 files. For testing raw video transcoding, you may need uncompressed test videos. Placeholders are better suited for testing transcoding service APIs, format conversion workflows, and quality tier generation.
- How do I test video upload endpoints with placeholders?
- Download placeholder videos using curl or fetch, then upload them to your API endpoints. Since placeholders are standard MP4 files, they'll be processed identically to real videos. This approach tests upload validation, file handling, and processing pipelines without managing large test video files.