Frameright
Frameright is a tool that enables creators, developers, and businesses to ensure their images are displayed in the perfect size for every c...
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What is Frameright?
Frameright is an Image Display Control (IDC) technology that makes images smart and adaptable to any container, screen, or platform where they are used. The core innovation is embedding crop and display instructions directly into the image file's embedded metadata (using open IPTC standards), so the image
Frameright pricing
Pricing model: Free
The browser-based Frameright editor at frameright.app is free for adding IDC metadata to images. Open-source components and libraries are freely available on GitHub. Enterprise customers have access to a custom AI program where the base model is extended with customer-specific data. Specific paid plan pricing details are not publicly listed on the website - businesses should contact [email protected] or CEO Marina Ekroos at [email protected] for enterprise pricing.
Frameright pros
- Embeds crop instructions directly in image metadata, no external systems needed
- AI-powered automatic crop recommendations based on image composition
- Open-source libraries for React, web components, WordPress, PHP, TypeScript
- Works with all standard image files: JPEG, PNG, GIF, WebP
- Fail-safe: images work normally even on channels without IDC support
- Extensive presets for Facebook, Twitter, Open Graph, and other common channels
- 70% faster image publishing workflow compared to manual cropping
- No need to create multiple image versions for different platforms
- Custom templates can be created for specific channel requirements
- Original file stays intact throughout publishing lifecycle
- Enterprise customers can get custom AI models trained on their data
- Open IPTC metadata standards ensure broad compatibility
- Free browser-based editor for adding IDC metadata at frameright.app
- Saves designers from fixed image size and placement limitations
- Images display correctly without heads cropped out or illegible text
Frameright cons
- No direct analytics or insights for image performance tracking
- AI still has limitations understanding visual creativity and composition
- Machine learning may miss small distractions at image edges
- Cannot yet understand relationships between series of related images
- Custom AI models only available for enterprise customers
- Requires developer implementation to leverage IDC in publishing pipelines
- Early-stage technology still being adopted across platforms
- AI approach emphasizes human verification rather than fully automatic
Frequently asked questions about Frameright
What is Frameright and what does it do?
Frameright builds Image Display Control (IDC) technology that allows everyone to control how images behave in different digital environments. With the browser-based Frameright editor, anyone can define various regions and shapes for an image. This information is embedded inside the image file's metadata, so the image knows how it should be cropped to different sizes and ratios, no matter where it is used. The editing process is guided by Frameright AI, which understands image composition and dynamics.
How does Frameright ensure compatibility with various web channels and screen sizes?
IDC keeps the original file intact through the publishing process instead of creating multiple hard-cropped versions. The IDC-enriched image contains crop instructions for known use cases, and has enough pixel data for new use cases that emerge. IDC is built on open IPTC image metadata standards and works with all normal image files. If a channel doesn't support IDC yet, the image behaves like a file without IDC metadata. Frameright provides extensive presets for common channels like Facebook, Twitter, and Open Graph images.
Who is Frameright for?
Everyone can benefit from Frameright. The browser-based editor gives photographers, image editors, content creators, and cross-channel marketers a way to ensure material is shown as intended. Open-source components and developer tools free web developers from adding hacks and manual corrections. Designers can create more creative formats not limited by fixed image sizes. Tangible benefits and savings come for companies using大量 image material, especially in media/journalism, but also brands, e-commerce, and any company using image assets in communication.
How does Frameright AI work?
Frameright AI is an in-house built machine learning model that understands image composition and dynamics, powering automatic crop recommendations in the editor and APIs. It was trained on a dataset of over 1 million photos cropped by professional image editors from a large image publisher. Enterprise customers can join a custom AI program where the base model is extended with customer-specific data, allowing the model to learn relevant styles and contents. The approach emphasizes 'augmented intelligence' with human involvement, as images are too important to be left just to machines.
What are the benefits for end-users viewing Frameright images?
Users see images in the way they were intended to be seen, without heads cropped out by automated processes or illegible text. IDC prevents the generic 'small subject in the middle' photography trend that has reduced storytelling power. The magic happens before the image reaches the end-user, but IDC integrates well with CDNs and newer file formats. Users experience images more correctly and appealingly, while developers and designers can create new creative storytelling ways.
Does Frameright work for e-commerce product images?
Yes, the core benefit is ensuring product images show up in a controlled, intended way regardless of size or ratio. IDC is vital for brands and manufacturers whose image material travels across many channels for sales, advertising, and product info. The metadata travels inside the file, available wherever displayed. IDC metadata can also add information about products and their locations in pictures, enabling zooming on specific parts, creating thumbnails, or conveying more product information. This data is available to anyone with the image file.
Does Frameright provide analytics for image performance?
No direct analytics are provided for image performance. The IDC philosophy decentralizes image display since the file travels across different systems with all needed information in embedded metadata. The publishing platform doesn't need to query Frameright for data when the image is online. Customers are encouraged to track performance on their side. Frameright values qualitative and quantitative feedback from customers to improve products and Frameright AI performance, especially useful for training custom models matching customer goals.
What image formats does Frameright support?
Frameright works with all normal image files including JPEGs, PNGs, GIFs, and WebPs. IDC is built on open IPTC image metadata standards, ensuring the files are just regular files that are fail-safe. The embedded metadata containing crop instructions is stored in XMP, IPTC, and Exif formats within the image file.
What developer tools and integrations are available?
Frameright provides open-source components and libraries including: image-display-control-web-component for next-gen responsive img tags, react-image-display-control for React, image-display-control-wordpress for WordPress sites, php-image-metadata-parser for PHP backends, and image-display-control-metadata-parser (TypeScript) for metadata parsing. There are also demos for Next.js, irregularly shaped containers, and a tutorial at react.frameright.io. APIs allow introducing Frameright browser client and AI into any system.
How much faster is the workflow with Frameright?
One large media company with high-end online publications reported 70% faster image publishing workflow using Frameright compared to their old process of creating six different image versions for different channels, devices, and placements. Beyond speed, issues with images disappeared as image editors gained time to concentrate on actual tasks they love. Daily discussions with image editors about wrong crops vanished, and the tech team said Frameright transformed their work, allowing focus on building new instead of fixing old.