Changelog

The Images binding is now billed per unique transformation, matching the model already used for URL-based transformations. Repeat requests for the same combination of source image and parameters within the same calendar month are counted only once.

Previously, every call to the binding counted as a separate transformation regardless of whether the image or parameters were unique. With this change, you can call the binding on hot paths without paying for each individual request.

Calls to .info() are no longer billed.

For more information, refer to Images pricing and the Images binding documentation.

These updates introduce new features for optimizing and manipulating with Images:

• New composite option: Control how overlays are blended with the base image.
• Percentage widths: Set the dimensions of an overlay as a fraction of the dimensions of the base image.
• New fit modes: Use aspect-crop to always preserve the target aspect ratio or scale-up to always enlarge images.
• New upscale parameter: Apply AI upscaling to produce sharper, more detailed results when enlarging images.

Use the Images binding to upload, list, retrieve, update, and delete images stored in Images directly from your Worker without managing API tokens or making HTTP requests.

The env.IMAGES.hosted namespace supports the following storage and management operations:

• .upload(image, options) — Upload a new image to your account.
• .list(options) — List images with pagination.
• .image(imageId).details() — Get image metadata.
• .image(imageId).bytes() — Stream the original image bytes.
• .image(imageId).update(options) — Update metadata or access controls.
• .image(imageId).delete() — Delete an image.

For example, you can upload an image from a request body and return its metadata:

const image = await env.IMAGES.hosted.upload(request.body, {
	filename: "upload.jpg",
	metadata: { source: "worker" },
});

return Response.json(image);

Or retrieve and serve the original bytes of a hosted image:

const bytes = await env.IMAGES.hosted.image("IMAGE_ID").bytes();
return new Response(bytes);

For more information, refer to the Images binding.

RealtimeKit lets you build products where people meet over live audio and video — such as HealthTech, EdTech, proctoring, and other real-time platforms — on Cloudflare's global WebRTC infrastructure.

Post-meeting transcription is now Generally Available, so completed RealtimeKit meetings can automatically produce full transcript files after they end. Those transcripts can also power AI-generated summaries for meeting notes, review workflows, and follow-up tasks after the transcript is available.

Post-meeting transcription is a managed service powered by Workers AI using Whisper Large v3 Turbo. RealtimeKit handles transcription processing and can return transcript and summary files through webhooks or the REST API, so you do not need to run your own transcription infrastructure.

To generate a transcript after a meeting ends, set transcribe_on_end: true when creating a meeting. To also generate an AI summary automatically after the transcript is available, set summarize_on_end: true:

curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/realtime/kit/$APP_ID/meetings" \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "Weekly product review",
    "transcribe_on_end": true,
    "summarize_on_end": true,
    "ai_config": {
      "transcription": {
        "language": "en"
      },
      "summarization": {
        "word_limit": 500,
        "text_format": "markdown",
        "summary_type": "team_meeting"
      }
    }
  }'

When RealtimeKit finishes processing a meeting, it creates download URLs for the transcript and, if summarize_on_end is set, the summary. You can receive those URLs automatically with webhooks, or fetch them later for a specific session with the REST API.

To receive results as soon as they are ready, configure the meeting.transcript and meeting.summary webhook events:

curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/realtime/kit/$APP_ID/webhooks" \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "AI results webhook",
    "url": "https://example.com/webhook",
    "events": ["meeting.transcript", "meeting.summary"],
    "enabled": true
  }'

To fetch results later, call the transcript or summary endpoint for the session:

curl -X GET "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/realtime/kit/$APP_ID/sessions/$SESSION_ID/transcript" \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"

curl -X GET "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/realtime/kit/$APP_ID/sessions/$SESSION_ID/summary" \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"

Use the Generate summary of transcripts for the session API only if summarize_on_end was not set and you want to generate a summary manually after the transcript is available:

curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/realtime/kit/$APP_ID/sessions/$SESSION_ID/summary" \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"

Post-meeting transcription supports CSV, JSON, SRT, and VTT transcript outputs, automatic language detection and Whisper language codes. RealtimeKit also supports real-time transcription with Deepgram Nova-3 for live captions, in-meeting accessibility, and real-time note-taking.

Learn more in the RealtimeKit transcription docs and summary docs.

Cloudflare Realtime SFU is a WebRTC Selective Forwarding Unit that runs on Cloudflare's global network, so you can route live audio, video, and data between WebRTC clients around the world without managing SFU infrastructure or regions.

When you use the WebSocket adapter to stream WebRTC media to a WebSocket endpoint, the adapter now auto-reconnects and buffers audio and video after brief endpoint disconnects or restarts.

Many teams also use Realtime SFU as the media layer for backend applications, such as transcription, recording, note-taking, and agentic media-processing services. These systems often need to consume live WebRTC audio or video from the SFU in backend infrastructure, including Durable Objects, Workers, Containers, or external services, without running a WebRTC client themselves.

The WebSocket adapter bridges that gap by streaming WebRTC media from the SFU to a standard WebSocket endpoint as application-consumable payloads: PCM audio frames and JPEG video frames.

When you use the WebSocket adapter in Stream mode (egress) to send live audio or video from the SFU to your own WebSocket endpoint, the SFU now automatically reconnects after brief endpoint disconnects or restarts. This is especially helpful for long-running media pipelines where the WebSocket endpoint may briefly restart while a recording, transcription, or live analysis job is still in progress.

Previously, a brief disconnect from your WebSocket endpoint could close the adapter and require your application to recreate it before media could resume. Now, the SFU retries the same endpoint for up to 5 seconds with no API change required. If the endpoint comes back within that window, audio and video delivery resumes automatically.

The reconnect behavior also includes live-first media buffering, so brief interruptions reduce media loss without replaying stale video.

During reconnect:

• Audio uses a short bounded backlog to reduce audible loss. If the interruption lasts longer than the backlog can cover, older audio may be dropped.
• Video resumes from the latest available JPEG frame instead of replaying stale frames.
• Recovery is best effort and does not guarantee gapless or exactly-once delivery.

If the endpoint remains unavailable after the 5-second reconnect window, the adapter closes and must be recreated.

• WebSocket adapter
• Automatic reconnection for streaming
• Get started with Realtime SFU
• Realtime SFU example architecture
• Realtime vs Regular SFUs
• Global SFU Network Visualization ↗

You can now record specific participant audio tracks in RealtimeKit with track recording. Track recording creates separate WebM files for each participant instead of a single composite recording, which is useful for post-processing, transcription, and regulated or content-sensitive workflows.

To record specific participants, pass user_ids when starting a track recording:

curl --request POST \
  --url https://api.cloudflare.com/client/v4/accounts/<account_id>/realtime/kit/<app_id>/recordings/track \
  --header 'Authorization: Bearer <api_token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "meeting_id": "97440c6a-140b-40a9-9499-b23fd7a3868a",
  "user_ids": ["user-123", "user-456"]
}'

To pass user_ids for selective track recording, use the following minimum SDK versions:

• Web Core: @cloudflare/realtimekit version 1.4.0 or later
• Web UI Kit: @cloudflare/realtimekit-ui, @cloudflare/realtimekit-react-ui, or @cloudflare/realtimekit-angular-ui version 1.1.2 or later
• Android Core or iOS Core: version 2.0.0 or later
• Android UI Kit or iOS UI Kit: version 1.1.0 or later

RealtimeKit provides SDKs and UI components so that you can build your own meeting experience on Cloudflare's global WebRTC infrastructure. Teams today build products ranging from telehealth to education on RealtimeKit for global audiences. You can get started today with our Quickstart or take a look at our Cloudflare Meet repo ↗ as a reference.

Flows are automated rules that pair conditions (such as file extension, URL path, or query parameter) with parameters. Set up a flow to automatically apply image optimization to matching requests on your zone without writing code or changing URLs.

There are two modes for transformation flows:

• Provider flows — Migrate from another image optimization service. Your existing URLs continue to work while Cloudflare rewrites provider-specific parameters to their Cloudflare equivalents. Currently, Cloudflare supports provider flows for Fastly Image Optimizer.
• Custom flows — Define your own conditions and actions for use cases like automatic format conversion, responsive sizing with width=auto, or directory-based optimization.

To get started, go to Images > Transformations > Automation in the Cloudflare dashboard ↗.

Learn more about transformation flows.

You can now interact with your Stream video library using new bindings for Workers! This allows customers to upload content to Stream, provision direct uploads, manage videos, and generate signed URLs from a Worker without making authenticated API calls. We're excited to bring Stream and Workers closer together to empower more programmatic pipelines, tighter integrations, and support generative AI and inference workloads.

Use the Stream binding when you want to:

• Upload videos from URLs or create basic direct upload links for end users
• Generate signed playback tokens without managing signing keys
• Manage video metadata, captions, downloads, and watermarks
• Build video pipelines entirely within Workers

To get started, add the Stream binding to your Wrangler configuration:

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "stream": {
    "binding": "STREAM"
  }
}

[stream]
binding = "STREAM"

Generate a video with AI and upload directly to Stream or send a URL of a file you already have:

const aiResponse = await env.AI.run(
	"google/veo-3.1",
	{
		prompt: "A dog walking next to a river",
		duration: "10s",
		aspect_ratio: "16:9",
		resolution: "1080p",
		generate_audio: true,
	},
	{
		gateway: { id: "experiments" },
	},
);

// Veo will return a URL of the generated asset.
const videoUrl = aiResponse.result.video;

// Alternative option: a video of the Austin Office mobile
// const videoUrl = 'https://pub-d9fcbc1abcd244c1821f38b99017347f.r2.dev/aus-mobile.mp4';

// Upload to Stream by providing a URL
const streamVideo = await env.STREAM.upload(videoUrl);

// The streamVideo response will include the video ID, playback and manifest
// URLs, and other information, just like the REST API.

const aiResponse = await env.AI.run(
	'google/veo-3.1',
	{
		prompt: 'A dog walking next to a river',
		duration: '10s',
		aspect_ratio: '16:9',
		resolution: '1080p',
		generate_audio: true,
	},
	{
		gateway: { id: 'experiments' },
	},
);

// Veo will return a URL of the generated asset.
const videoUrl = aiResponse.result.video;

// Alternative option: a video of the Austin Office mobile
// const videoUrl = 'https://pub-d9fcbc1abcd244c1821f38b99017347f.r2.dev/aus-mobile.mp4';

// Upload to Stream by providing a URL
const streamVideo = await env.STREAM.upload(videoUrl);

// The streamVideo response will include the video ID, playback and manifest
// URLs, and other information, just like the REST API.

Generate a signed URL without using a signing key or an API call:

const video_id = "ce800be43a9772f4bb02f35b860fb516";
const token = await env.STREAM.video(video_id).generateToken();

// Use the "token" in an iframe embed code, manifest URL, or thumbnail:
const embedUrl = `https://customer-igynxd2rwhmuoxw8.cloudflarestream.com/${token}/iframe`;

const video_id = 'ce800be43a9772f4bb02f35b860fb516';
const token = await env.STREAM.video(video_id).generateToken();

// Use the "token" in an iframe embed code, manifest URL, or thumbnail:
const embedUrl = `https://customer-igynxd2rwhmuoxw8.cloudflarestream.com/${token}/iframe`;

Get and set video properties easily:

const video_id = "46c8b7f480d410840758c1cb14a72e47";
const result = await env.STREAM.video(video_id).details();

await env.STREAM.video(video_id).update({
	meta: { name: "sample video" },
});

const video_id = '46c8b7f480d410840758c1cb14a72e47';
const result = await env.STREAM.video(video_id).details();

await env.STREAM.video(video_id).update({
  meta: { name: 'sample video' }
});

For setup instructions and the full API reference, refer to Bind to Workers API.

Add a binding for Cloudflare Stream (env.STREAM). On the watch page, use the Stream binding to get info based on the ID, and leverage video.meta.name as the page title.

You can now use a Workers binding to transform videos with Media Transformations. This allows you to resize, crop, extract frames, and extract audio from videos stored anywhere, even in private locations like R2 buckets.

The Media Transformations binding is useful when you want to:

• Transform videos stored in private or protected sources
• Optimize videos and store the output directly back to R2 for re-use
• Extract still frames for classification or description with Workers AI
• Extract audio tracks for transcription using Workers AI

To get started, add the Media binding to your Wrangler configuration:

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "media": {
    "binding": "MEDIA"
  }
}

[media]
binding = "MEDIA"

Then use the binding in your Worker to transform videos:

export default {
	async fetch(request, env) {
		const video = await env.R2_BUCKET.get("input.mp4");

		const result = env.MEDIA.input(video.body)
			.transform({ width: 480, height: 270 })
			.output({ mode: "video", duration: "5s" });

		return await result.response();
	},
};

export default {
	async fetch(request, env) {
		const video = await env.R2_BUCKET.get("input.mp4");

		const result = env.MEDIA.input(video.body)
			.transform({ width: 480, height: 270 })
			.output({ mode: "video", duration: "5s" });

		return await result.response();
	},
};

Output modes include video for optimized MP4 clips, frame for still images, spritesheet for multiple frames, and audio for M4A extraction.

For more information, refer to the Media Transformations binding documentation.

Real-time transcription in RealtimeKit now supports 10 languages with regional variants, powered by Deepgram Nova-3 running on Workers AI.

During a meeting, participant audio is routed through AI Gateway to Nova-3 on Workers AI — so transcription runs on Cloudflare's network end-to-end, reducing latency compared to routing through external speech-to-text services.

Set the language when creating a meeting via ai_config.transcription.language:

{
	"ai_config": {
		"transcription": {
			"language": "fr"
		}
	}
}

Supported languages include English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch — with regional variants like en-AU, en-GB, en-IN, en-NZ, es-419, fr-CA, de-CH, pt-BR, and pt-PT. Use multi for automatic multilingual detection.

If you are building voice agents or real-time translation workflows, your agent can now transcribe in the caller's language natively — no extra services or routing logic needed.

• Transcription docs
• Nova-3 model page
• Workers AI
• AI Gateway

You can now disable a live input to reject incoming RTMPS and SRT connections. When a live input is disabled, any broadcast attempts will fail to connect.

This gives you more control over your live inputs:

• Temporarily pause an input without deleting it
• Programmatically end creator broadcasts
• Prevent new broadcasts from starting on a specific input

To disable a live input via the API, set the enabled property to false:

curl --request PUT \
https://api.cloudflare.com/client/v4/accounts/{account_id}/stream/live_inputs/{input_id} \
--header "Authorization: Bearer <API_TOKEN>" \
--data '{"enabled": false}'

You can also disable or enable a live input from the Live inputs list page or the live input detail page in the Dashboard.

All existing live inputs remain enabled by default. For more information, refer to Start a live stream.

New information about broadcast metrics and events is now available in Cloudflare Stream in the Live Input details of the Dashboard.

You can now easily understand broadcast-side health and performance with new observability, which can help when troubleshooting common issues, particularly for new customers who are just getting started, and platform customers who may have limited visibility into how their end-users configure their encoders.

To get started, start a live stream (just getting started?), then visit the Live Input details page in Dash.

See our new live Troubleshooting guide to learn what these metrics mean and how to use them to address common broadcast issues.

We now support audio mode! Use this feature to extract audio from a source video, outputting an M4A file to use in downstream workflows like AI inference, content moderation, or transcription.

For example,

https://example.com/cdn-cgi/media/<OPTIONS>/<SOURCE-VIDEO>
https://example.com/cdn-cgi/media/mode=audio,time=3s,duration=60s/<input video with diction>

For more information, learn about Transforming Videos.

You can use Images to ingest HEIC images and serve them in supported output formats like AVIF, WebP, JPEG, and PNG.

When inputting a HEIC image, dimension and sizing limits may still apply. Refer to our documentation to see limits for uploading to Images or transforming a remote image.

We have increased the limits for Media Transformations:

• Input file size limit is now 100MB (was 40MB)
• Output video duration limit is now 1 minute (was 30 seconds)

Additionally, we have improved caching of the input asset, resulting in fewer requests to origin storage even when transformation options may differ.

For more information, learn about Transforming Videos.

We are adding source origin restrictions to the Media Transformations beta. This allows customers to restrict what sources can be used to fetch images and video for transformations. This feature is the same as --- and uses the same settings as --- Image Transformations sources.

When transformations is first enabled, the default setting only allows transformations on images and media from the same website or domain being used to make the transformation request. In other words, by default, requests to example.com/cdn-cgi/media can only reference originals on example.com.

Adding access to other sources, or allowing any source, is easy to do in the Transformations tab under Stream. Click each domain enabled for Transformations and set its sources list to match the needs of your content. The user making this change will need permission to edit zone settings.

For more information, learn about Transforming Videos.

Cloudflare Stream has completed an infrastructure upgrade for our Live WebRTC beta support which brings increased scalability and improved playback performance to all customers. WebRTC allows broadcasting directly from a browser (or supported WHIP client) with ultra-low latency to tens of thousands of concurrent viewers across the globe.

Additionally, as part of this upgrade, the WebRTC beta now supports Signed URLs to protect playback, just like our standard live stream options (HLS/DASH).

For more information, learn about the Stream Live WebRTC beta.

Today, we are thrilled to announce Media Transformations, a new service that brings the magic of Image Transformations to short-form video files, wherever they are stored!

For customers with a huge volume of short video — generative AI output, e-commerce product videos, social media clips, or short marketing content — uploading those assets to Stream is not always practical. Sometimes, the greatest friction to getting started was the thought of all that migrating. Customers want a simpler solution that retains their current storage strategy to deliver small, optimized MP4 files. Now you can do that with Media Transformations.

To transform a video or image, enable transformations for your zone, then make a simple request with a specially formatted URL. The result is an MP4 that can be used in an HTML video element without a player library. If your zone already has Image Transformations enabled, then it is ready to optimize videos with Media Transformations, too.

https://example.com/cdn-cgi/media/<OPTIONS>/<SOURCE-VIDEO>

For example, we have a short video of the mobile in Austin's office. The original is nearly 30 megabytes and wider than necessary for this layout. Consider a simple width adjustment:

https://example.com/cdn-cgi/media/width=640/<SOURCE-VIDEO>
https://developers.cloudflare.com/cdn-cgi/media/width=640/https://pub-d9fcbc1abcd244c1821f38b99017347f.r2.dev/aus-mobile.mp4

The result is less than 3 megabytes, properly sized, and delivered dynamically so that customers do not have to manage the creation and storage of these transformed assets.

For more information, learn about Transforming Videos.

You can now interact with the Images API directly in your Worker.

This allows more fine-grained control over transformation request flows and cache behavior. For example, you can resize, manipulate, and overlay images without requiring them to be accessible through a URL.

The Images binding can be configured in the Cloudflare dashboard for your Worker or in the Wrangler configuration file in your project's directory:

{
	"images": {
		"binding": "IMAGES", // i.e. available in your Worker on env.IMAGES
	},
}

[images]
binding = "IMAGES"

Within your Worker code, you can interact with this binding by using env.IMAGES.

Here's how you can rotate, resize, and blur an image, then output the image as AVIF:

const info = await env.IMAGES.info(stream);
// stream contains a valid image, and width/height is available on the info object

const response = (
	await env.IMAGES.input(stream)
		.transform({ rotate: 90 })
		.transform({ width: 128 })
		.transform({ blur: 20 })
		.output({ format: "image/avif" })
).response();

return response;

For more information, refer to Images Bindings.

Previously, all viewers watched "the live edge," or the latest content of the broadcast, synchronously. If a viewer paused for more than a few seconds, the player would automatically "catch up" when playback started again. Seeking through the broadcast was only available once the recording was available after it concluded.

Starting today, customers can make a small adjustment to the player embed or manifest URL to enable the DVR experience for their viewers. By offering this feature as an opt-in adjustment, our customers are empowered to pick the best experiences for their applications.

When building a player embed code or manifest URL, just add dvrEnabled=true as a query parameter. There are some things to be aware of when using this option. For more information, refer to DVR for Live.

Stream's generated captions leverage Workers AI to automatically transcribe audio and provide captions to the player experience. We have added support for these languages:

• cs - Czech
• nl - Dutch
• fr - French
• de - German
• it - Italian
• ja - Japanese
• ko - Korean
• pl - Polish
• pt - Portuguese
• ru - Russian
• es - Spanish

For more information, learn about adding captions to videos.