Reduce costs
Lower bandwidth and storage expenses without compromising quality.
Automatically select the best frame for maximum viewer engagement
Smart Thumbnails use machine learning to analyze your video and automatically select the most engaging frame for preview images. Instead of random frame extraction or manual thumbnail creation, the API identifies faces, compositions, colors, and scenes that maximize click-through rates. For platforms managing thousands or millions of videos, this means better engagement without manual oversight.
Send a video file to the /v1/start_encode2 endpoint and add smart_thumbnail as an output format in your job request.
The model scans multiple frames across the video duration, evaluating composition, brightness, contrast, and visual hierarchy.
The API identifies the frame most likely to drive engagement based on human visual preferences.
Receive the thumbnail as an image file or directly integrate it into your metadata.
Lower bandwidth and storage expenses without compromising quality.
Automate complex processing that would take hours manually.
Handle thousands of videos with the same API call.
Simple REST API with comprehensive SDKs and documentation.
A streaming service with 50,000 titles needs thumbnails for discovery pages and recommendation feeds. Manual creation takes weeks; random frames often show logos or dark scenes that don't drive clicks.
Deploy Smart Thumbnails across your entire catalog and increase click-through rates by up to 30% without additional production work.
A user-generated content platform processes 10,000 uploads daily. Most creators don't optimize thumbnails, leading to poor discoverability and lower view counts.
Automatically apply professional thumbnails to every upload, reducing content visibility gaps by 25% and improving creator revenue.
A short-form content editor needs to generate shareable clips with eye-catching thumbnails in seconds. Creators want to maximize impressions without deep editing skills.
Generate gallery-ready thumbnails instantly alongside clip export, cutting post-production time from hours to minutes.
Watch a quick walkthrough showing how to configure and use Smart Thumbnails through the Qencode dashboard and API.
| API Method | POST /v1/start_encode2 after creating a task with POST /v1/create_task. Add an smart_thumbnail output to the transcoding job. |
| Key Parameters | source, encoder_version: "2", output: "smart_thumbnail", width, height, total, image_format, optional quality. |
| Supported Input Formats | Any video format — MP4, MOV, MKV, AVI, HLS, and 200+ others |
| Supported Output Formats | Smart thumbnail image output in jpg or png. Use image_format to choose the image type. |
| Limits & Constraints | quality applies when image_format is jpg. total controls how many smart thumbnails are generated. |
Smart Thumbnails configuration inside a transcoding job request.
{
"query": {
"source": "https://your-storage.com/source.mov",
"encoder_version": "2",
"format": [
{
"output": "smart_thumbnail",
"width": 1920,
"height": 1080,
"total": 5,
"image_format": "jpg",
"quality": 95
}
]
}
}Copy this payload and use it with your API key to test Smart Thumbnails on your own video.
View Smart Thumbnails TutorialUsage-Based Pricing
Smart Thumbnails are available for all Qencode users. Pricing is based on the transcoding cost and includes an additional fee for each Smart Thumbnail job.
Adapt videos to any aspect ratio with intelligent frame detection
Traditional thumbnail extraction with manual frame selection
Extract metadata, objects, and scenes from video content
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