Video Enhancement APIs: Documented Options and How to Evaluate Them
Runbo Li
·
CEO of Magic Hour
(Updated )
· 3 min read
For video upscaling, denoising, or frame interpolation through an API, start by checking Topaz's documented Video AI API. It explicitly covers those operations. Compare the exact enhancement you need on representative footage; a video-generation API or desktop app is not automatically a video-restoration API. No comparative performance ranking is established in this guide.
What does a video-enhancement API do?
Operation | Purpose | What to inspect |
|---|---|---|
Upscaling | Produce a larger output frame | Invented detail, halos, faces, and text |
Denoising | Reduce visible noise or grain | Loss of texture and excessive smoothing |
Frame interpolation | Generate intermediate frames | Ghosting, fast motion, cuts, and timing |
Compression recovery | Reduce compression artifacts | Whether important details remain faithful |
A larger or smoother output is not proof that authentic source detail has been recovered. Keep the original footage and compare moving clips, not only still frames.
A documented option: Topaz Video AI API
Topaz documents upscaling, frame interpolation, denoising, and additional enhancement filters. Its workflow creates a request with an estimated cost, accepts the request, uploads the source, queues processing, checks status, and downloads the result. API access and charges are separate from assuming a desktop license includes cloud processing. See Topaz's API introduction and API product page, checked September 9, 2026.
Another documented route: Runway
Runway's developer pricing also lists a Magnific video upscaler. It is billed per output frame, so output frame rate and duration affect cost. Check its current model and endpoint documentation before comparing it with Topaz. This is a separate enhancement route from Runway's video-generation models. See Runway API pricing.
Where Magic Hour fits
Magic Hour provides documented video-generation and editing APIs. Do not assume every browser tool has a matching public endpoint. For browser-based upscaling, check the video upscaler and its paid access requirements. For an integration, confirm that the exact operation appears in the current API reference before building.
How to compare enhancement quality
- Select short samples with faces, lettering, fine texture, camera movement, and scene cuts.
- Keep source files, requested resolution, frame rate, and intended use consistent.
- Choose the least aggressive settings that address the source problem.
- Inspect the complete output at the intended playback size and speed.
- Record artifacts, accepted clips, processing time, and total charged usage.
For an old family video, preserved identity and natural texture may matter more than sharp-looking edges. For a product recording, readable labels and unchanged shapes may be the acceptance criteria. These are suggested evaluation cases, not claimed test results.
What should an integration handle?
Keep the returned job ID, follow the provider's upload procedure, track asynchronous completion, and save the final download. Handle errors and timeouts without creating duplicate charged jobs. Check input limits, supported formats, data retention, and current pricing in the provider's documentation.
How much does enhancement cost?
Use the quote for the selected operation and output settings. Include rejected attempts, storage, and transfer where charged. A generic subscription price or a price for generating new video does not establish the cost of enhancing an existing clip.
Runbo Li is the Co-founder and CEO of Magic Hour, where he builds AI video and image tools for content creation. He is a Y Combinator W24 founder and former Data Scientist at Meta, where he worked on 0-1 consumer social products in New Product Experimentation. He writes about AI video generation, AI image creation, creative workflows, and creator tools.
