ng2 image editor

A client-side image editor for Angular projects enabling quick edits on images with configurable crop, resize, rotate, and filter options.

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4,188+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how ng2 image editor processes input data instantly inside your browser.

Sample Input Birth date: Jan 15, 1995, Target date: Oct 20, 2023

Computed Result Chronological Age: 28 Years, 9 Months, 5 Days (10,505 days elapsed)

Execution Mode Client-Side In-Browser JS

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About This Tool

ng2 image editor enables developers to embed a client-side image editing workflow within Angular applications. It loads a source image, applies a sequence of edits, and outputs a ready-to-use asset without network requests.
Core capabilities include cropping, resizing, rotating, flipping, and adjustable color properties (brightness, contrast, saturation) plus a set of non-destructive presets. Edits are performed via a canvas-based rendering pipeline with an immutable operation stack to ensure reproducibility.
Outputs support PNG, JPEG, and WebP with configurable quality, suitable for avatars, thumbnails, and in-app assets. The tool handles common edge cases such as cross-origin restrictions, large image sizes, and invalid inputs, and is designed for seamless integration into both in-app editors and build pipelines.

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How to Use

Provide inputs: supply a source image file or URL and set initial crop/resize values.
Apply edits: adjust crop, resize, rotate, flip, brightness, and contrast as needed.
Choose output: select format (PNG/JPEG/WebP) and quality.
Run export: generate the edited image data URL or download file.
Retrieve results: access the output URL and metadata for asset pipelines.

Frequently Asked Questions

Find Quick Answers

What inputs are required?

At minimum, supply a source image and define at least one edit operation. You can specify crop, resize, rotate, and format options. All outputs include a data URL or downloadable file with accompanying metadata.

Which export formats are supported?

Exports support PNG, JPEG, and WebP. Quality control is available for lossy formats, allowing a balance between file size and visual fidelity.

Is processing client-side or server-side?

All transformations run in the browser using the Canvas 2D API. No server requests are required for edits or exports, enabling offline workflow within the app.

How are cross-origin images handled?

Cross-origin images require proper CORS headers to avoid tainted canvases. If CORS is not enabled, export may fail; use same-origin images or configure server-side headers accordingly.

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