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AI Content Editing Toolkit

Connect a rich-text editor to your own backend and model

Send structured document blocks to your backend and receive suggestions, issues, alternative options, or reports in response which authors can review and apply.

Top comment

We’ve developed a new Redactor editor for apps that work with AI and need to integrate with it not as a chat feature, but as a full-fledged solution specifically designed to work with documents and their blocks. The key is that editor sends the text and document data to your backend as JSON blocks. Your app processes this request, choose the necessary prompt, selects the appropriate model, and the AI returns a response. As a result, the backend returns as a response and the editor’s UI helps display it in the document as issues, alternatives, and even reports. The key feature is that, unlike typical solutions, the editor doesn’t automatically replace sentences, words, or blocks all at once. The UI gives authors a choice: they can review, accept, reject, or refine each change. The integration isn’t tied to a specific AI provider, since it all depends on your backend and which model or providers you prefer the editor will work with those. The editor supports synchronous requests, asynchronous tasks, and customizable job mechanisms for sending document structured data. You can check out the demo version, which includes pre-prepared AI response examples, but you can also try out different commands yourself to see what kinds of responses different prompts might generate. BTW, check out the various add-ons related to editorial and review workflows. They’re also great and quite different from what’s available on the market. We especially like how simple and flexible the review workflows are, allowing authors and reviewers to fully work with comments and revisions right within the document.

About AI Content Editing Toolkit on Product Hunt

Connect a rich-text editor to your own backend and model

AI Content Editing Toolkit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #95 on the daily leaderboard. Send structured document blocks to your backend and receive suggestions, issues, alternative options, or reports in response which authors can review and apply.

On the analytics side, AI Content Editing Toolkit competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AI Content Editing Toolkit performed against the three products that launched closest to it on the same day.

Who hunted AI Content Editing Toolkit?

AI Content Editing Toolkit was hunted by Alex. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of AI Content Editing Toolkit including community comment highlights and product details, visit the product overview.