AVIF to JSON Converter: Free, Private, No Upload

Convert AVIF files to JSON in your browser. Smaller output file, batch up to 20 files at once, no upload, no account, no watermark. Your files never leave your device.

AVIF to JSON
Batch up to 20 files
No upload, no account
Metadata stripped

1Add up to 20 images
2Pick from 18 formats
3Download or copy the code

Processed on your device. Your images are never uploaded, and metadata is stripped. How we keep it private

How do I convert AVIF to JSON for free?

Drop your AVIF files into the tool above, choose JSON as output, and download the result. Everything runs in your browser, so nothing is uploaded and there is no limit or watermark. It works on Windows, Mac, Linux, ChromeOS, iOS and Android — anywhere you have a modern browser.

Price: Free, no credits and no daily cap
Account required: No
File uploaded to server: No, processed locally in your browser
Batch limit: Up to 20 files at once
Input format: AVIF
Output format: JSON
Best for: JSON workflows, smaller files, faster sharing
Works on: Chrome, Edge, Firefox, Safari, iOS and Android browsers
Privacy: No upload, no tracking, metadata stripped
Output quality: Adjustable 1-100, defaults to 90

How to convert AVIF to JSON

1
Drop your AVIF files
Drag up to 20 AVIF files onto the page or click to choose them. Everything runs in your browser.
2
JSON is preselected
Output is already set to JSON. Adjust quality, resize or batch if you want.
3
Download
Save each JSON, or download all of them together as a ZIP.

AVIF to JSON: what changes and when it makes sense

AVIF is an AV1 Image File Format. It is best known for the smallest files of any common web format at a given quality. The main drawbacks are slow encoding, patchy support outside browsers, and smoothing in fine textures at aggressive settings.

JSON is not an image format. It is a JSON value that wraps the image data as text. Its main appeal is carrying an image alongside other fields in a single payload. The main drawbacks are a size about a third larger than the original and slow parsing for large payloads.

AVIF vs JSON at a glance

Property	AVIF	JSON
Type	Raster image	Text encoding of an image
Compression	Lossy or lossless, based on the AV1 video codec	The image bytes are written out as Base64 text, which adds about 33 percent to the size
Transparency	Full alpha channel with soft edges	Same as the embedded image
Animation	Yes	Same as the embedded image
Colour depth	8, 10 or 12 bits per channel, with HDR and wide-gamut support	Same as the embedded image
Support	Supported by current Chrome, Edge, Firefox and Safari, but many editors, social platforms and OS viewers cannot open it	Readable by every language and API client
History	Finalised in 2019 by the Alliance for Open Media (Google, Mozilla, Apple, Microsoft, Netflix, Amazon, Intel and others). Based on AV1 video codec, successor to VP9 and HEVC. First major browser support: Chrome 85 (2020).	JSON (JavaScript Object Notation) was specified by Douglas Crockford in 2001. Embedding images as base64 strings in JSON became common with REST APIs and AI model inputs (OpenAI vision, Anthropic Claude, Google Gemini).

What actually changes in this conversion

JSON is an encoding of the image data, not a new compression scheme. The text is about a third larger than the binary file, so what you gain is portability rather than a smaller size.
Transparency follows the image data being encoded. JSON itself is only a text wrapper.
Browser-based conversion works in 8-bit sRGB. Wide-gamut, 10-bit and 16-bit data are reduced. For colour-critical work, keep the original.
EXIF, GPS and camera data are stripped on every conversion. That is good for privacy, but you lose capture dates.

About AVIF: history and technical details

Finalised in 2019 by the Alliance for Open Media (Google, Mozilla, Apple, Microsoft, Netflix, Amazon, Intel and others). Based on AV1 video codec, successor to VP9 and HEVC. First major browser support: Chrome 85 (2020).

Technical: AV1 intra-frame coding with variable block sizes from 4x4 to 128x128. Supports 8/10/12-bit colour, HDR, wide gamut (BT.2020), monochrome. HEIF-based container. Encoding is 10-100x slower than JPEG.

Real-world size: AVIF at quality 50 produces files 30-50% smaller than JPG at quality 85 with similar visual quality. Netflix reports 50% bandwidth savings after switching. Google reports AVIF is 20-30% smaller than WebP.

Popular tools: Adobe Photoshop 2024+, GIMP 2.10+, Squoosh, avifenc, ImageMagick, AVIF.io, Netflix (production use).

Alternatives: WebP (faster encode, less compression), JPG (universal), HEIC (Apple-only), JPEG XL (future format).

About JSON: what you get

JSON (JavaScript Object Notation) was specified by Douglas Crockford in 2001. Embedding images as base64 strings in JSON became common with REST APIs and AI model inputs (OpenAI vision, Anthropic Claude, Google Gemini).

Technical: { "image": "iVBORw0KGgo...", "name": "photo.png" }. The base64 string can be escaped differently per language. Some APIs require no prefix, others require data:image/png;base64, prefix.

Real-world size: A 1 MB image as JSON base64 is ~1.33 MB. Parsing 10 MB JSON is 100-500ms in most languages. This is why vision AI APIs often recommend URL uploads for large images.

Popular tools: OpenAI API, Anthropic API, Google Gemini API, Postman, any JSON parser.

Alternatives: Multipart upload, Object storage + URL, Signed URL, Base64 in headers (rare).

Browser and software compatibility

AVIF: Supported by current Chrome, Edge, Firefox and Safari, but many editors, social platforms and OS viewers cannot open it. JSON: Readable by every language and API client.

JSON with an encoded image works with any parser. Large payloads parse slowly.

Why people move away from AVIF

Outside browsers, AVIF support is thin. Many editors, email clients and social platforms cannot open it.
Uploaders that accept only JPG or PNG reject AVIF files.
Fine texture such as film grain or fabric can look smoothed at aggressive AVIF settings.

Why people choose JSON

JSON with an encoded image is useful for API fixtures, config files and mock data.
The image travels together with the other fields as a single payload.

Common mistakes with AVIF

Encoding AVIF at quality 90 thinking it will match JPG 90 — AVIF scale is different
Using AVIF for small icons — encoding overhead wastes savings
Expecting Photoshop (pre-2024) to open AVIF files — it will not

Best practices for keeping quality

AVIF files are often made for the web already. If you need to edit one, convert from the original source rather than stacking another lossy pass.
Large payloads are slow to parse and send. Store files in object storage and keep a URL in the JSON for anything over a few hundred KB.
Resize before converting if the image will be shown small. A 4000 pixel photo displayed at 800 pixels wastes bytes in any format.
Check the result at 100 percent zoom, especially around text, edges and gradients, before you replace any originals.
Keep your original files. Conversions to a lossy format cannot be undone.
When you convert a set of images, use the same quality setting for the whole batch. The converter handles up to 20 files at once.

AVIF to JSON questions

Quick answers about privacy, quality, supported formats, file limits and how JSON works.

Why convert AVIF to JSON?

JSON files are typically smaller than AVIF, which makes them faster to share, send and load. The trade-off is a small amount of image detail at low quality settings.

Will converting AVIF to JSON lose quality?

At 90% quality, most people cannot tell the difference. Use 85-95% for photos and you are fine.

Does JSON keep transparency?

JSON is only a text wrapper around the image data, so transparency depends on the image format inside it.

Are my files uploaded?

Never. Everything runs in your browser. Your files never leave your device. Open DevTools Network tab while processing — you will see no upload request.

Can I convert many files at once?

Yes, up to 20 files at once. Download them individually or all together as a ZIP.

Does the converter strip metadata?

Yes. Browsers do not pass EXIF data through a canvas, so GPS, camera model and dates are removed on every conversion. That is good for privacy.

Is it free?

Yes. No credits, no daily cap, no account, no watermark. The practical limit is your device memory.

Do AI vision APIs accept base64 images?

Yes. OpenAI, Anthropic, and Google all accept base64 images in their API requests, either as a raw string or as a data URL depending on the provider. Check the specific API docs for the exact format.

Your files never leave your device

No upload, no account, no tracking. Everything happens in your browser using the Canvas API and WebAssembly. You can confirm this in your browser's DevTools Network tab while the tool runs — no request carries your file. See why ToolDeck is different.