imagor
imagor: A flexible self-hosted image service for developers who need programmatic transformations. Ranked #25 of 28 in Photo Resizing Software by our editors (6.6/10); pricing: Open source; best for developers needing flexible Go image services.
At a glance
- Editor score6.6 / 10
- PricingOpen source
- Best forDevelopers needing flexible Go image services
- Paid fromFree
- Facts checked20 Sep 2026

Where it wins
- Supports resizing, cropping, fitting, smart cropping, and format conversion
- Works with file-system, S3, Google Cloud, and HTTP storage
- Offers URL signing, quality controls, and configurable security controls
Where it doesn't
- Requires a self-hosted deployment rather than a consumer desktop or mobile app
- Its focus is programmatic image processing, not visual editing workflows
- Uses dimensions as its resize method, limiting the scope of resize controls
Our verdict on imagor
imagor is an open-source HTTP image-processing server and Go library for developers and teams building programmatic image transformation workflows. It supports dimension-based resizing and cropping, fit-in, full-fit-in, adaptive-fit-in, and stretch modes, plus smart cropping with focal-point detection. The service can also convert output formats, control quality and lossless encoding, extract metadata, accept POST image uploads, and perform direct transformations. Its published output formats include JPEG, PNG, GIF, WebP, AVIF, JXL, TIFF, and JP2, making it suited to self-hosted image delivery rather than consumer desktop or mobile resizing.
Its strongest advantage is deployment and storage flexibility. imagor runs on web and Linux environments, supports Docker, and can load or store images through the file system, HTTP, Amazon S3, and Google Cloud Storage. That gives teams several ways to fit it into an existing delivery or processing workflow. URL signing and configurable security controls add useful safeguards for transformation endpoints. Developers who want a Go library alongside an HTTP service can also use the same project across application and service layers.
The trade-off is that imagor is a focused infrastructure component, not a visual editor or a ready-made consumer application. Teams should choose it when they want control over image-processing behavior, storage backends, deployment, and integration through HTTP or Go. It is less suitable for users looking for desktop or mobile resizing, guided editing, or a managed workflow. The open-source model keeps the product centered on self-hosted implementation, so its value depends on whether a development team wants to operate an image-processing service rather than select a point-and-click tool.
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imagor pricing
imagor fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Batch resizing | Not verified |
| Output formats | jpeg, png, gif, webp, avif, jxl, tiff, jp2 |
| Resize methods | Dimensions |
| Quality controls | Yes |
| Maximum batch size | Not verified |
| Supported platforms | Web |
| Deployment | Self-hosted |
| Platforms | Web, Linux |
| Support | Docs, Community |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: Amazon S3, Google Cloud Storage, HTTP, Docker |
| Pricing | Open source |
| Website | docs.imagor.net |
| Facts checked | 20 Sep 2026 |
imagor integrations
imagor lists 4 integrations on its own site.
- Amazon S3
- Google Cloud Storage
- HTTP
- Docker
Alternatives to imagor
- XnResizeA capable offline batch resizer with broad format support and detailed quality controls.9.4
- ConverseenA capable free desktop tool for batch resizing, conversion, compression, and renaming.9.2
- PhotoResize ProA capable desktop batch processor for creative teams handling large image collections.9.1
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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