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Qencode Smart Thumbnails

Machine learning based smart video thumbnail API that automatically picks the preview frame most likely to boost click-through rate.

paid
Last Updated 9/19/2026

About Qencode Smart Thumbnails

Qencode Smart Thumbnails is a machine learning based smart video thumbnail API: it analyzes faces, composition, color, and scenes in video frames and automatically picks the frames most likely to raise click-through rate as preview images, replacing random frame sampling or manual creation. To use it, send your video file to the /v1/start_encode2 endpoint and add the smart_thumbnail output format to your task request, with parameters for width, height, count, and image format. The service works with over 200 video input formats including MP4, MOV, MKV, AVI, and HLS, and thumbnails can be output as JPG or PNG — ideal for platforms managing large video libraries to cut manual work and lift engagement.

Best for

Platforms and distribution services managing large volumes of video content
Backend and API developers integrating video processing capabilities
Content operations teams focused on thumbnail click-through rate and engagement
Development and ops teams that need to process video libraries in batch

Best use cases

Automatically pick more appealing preview thumbnails for uploaded videos

Process cover images for massive video libraries in batch to reduce manual picking effort

Generate thumbnails by adding an output format to a transcoding task request

Generate multiple candidate thumbnails at once via the total parameter

Features

Smart frame selection

Machine learning analyzes video content to identify faces, composition, color, and scenes, selecting the frames most likely to raise click-through rate as preview images.

Transcoding task integration

Send your video file to the /v1/start_encode2 endpoint and add the smart_thumbnail output format to your task request to generate thumbnails.

Adjustable parameters

Set width, height, count (total), image format (image_format), and quality, which applies to JPG.

Format compatibility

Supports over 200 video input formats including MP4, MOV, MKV, AVI, and HLS; thumbnails can be output as JPG or PNG.

Pros

  • Machine learning automatically picks cover frames more likely to earn clicks, eliminating manual selection
  • Selects frames by faces, composition, color, and scenes to raise click-through rate
  • Supports over 200 video input formats including MP4, MOV, MKV, AVI, and HLS
  • Generated directly as a transcoding task output format, with flexibly adjustable parameters

Cons

  • The quality parameter only takes effect when image_format is jpg

Pricing Plans

Smart Thumbnails

Transcoding Cost / 1.5 + $0.2job
  • Pricing based on transcoding cost
  • A surcharge is added per Smart Thumbnail job
  • Additional volume discounts available for monthly budgets over $1,000

* Pricing information is for reference only. Please refer to the latest announcement on Qencode Smart Thumbnails's official website.

FAQ

Send your video file to the /v1/start_encode2 endpoint and add smart_thumbnail as an output format in your task request.
The feature is open to all Qencode users; pricing is based on transcoding cost with a surcharge per job, shown in the official price list as "Transcoding Cost / 1.5 + $0.2". If your monthly budget exceeds $1,000, you can arrange additional volume discounts.

Tool Information

DeveloperQencode Smart Thumbnails
Release Date9/19/2026
Pricingpaid