Autostitch

Tool Description : An image stitching tool that automatically combines multiple photos into a single panoramic image.

Autostitch

Quick Overview

URL

https://mattabrown.github.io/autostitch.html

What it does

Automatically detects overlapping areas between multiple images and merges them seamlessly into a single panoramic photograph.

How to use it

Download and install Autostitch (Now only available on Windows).Then import the set of images you want to stitch together and run the tool to automatically align, blend, and generate the panoramic output.

Cost

Free

Account required

No (only compatible with Windows)

Ownership

Developed by Matthew Brown & David G. Lowe

Use in Reporting

Helps journalists/investigators visualise a scene/ location more comprehensively and can help reconstruct streets, disaster zones, or event locations.

What does Autostitch do?

Autostitch works from unordered collections of images, automatically combines overlapping photos into one seamless panorama, using the SIFT algorithm to detect matches and advanced blending algorithms to align images and blend edges smoothly.

The lowdown: It helps you see the bigger picture (literally) and is particularly useful for reconstructing scenes from multiple images/video frames. But like any stitching tool, it can’t verify context, timing, or authenticity so it should be corroborated with other OSINT methods.

How to Use:

Head to the Autostitch web page, download to your desktop.
Open Autostitch and select the images to stitch. This looks like the below in the Demo version:

Let the software analyse overlaps and align the images, and Voila! The final panoramic image should appear like so:

You can also view this handy YouTube Tutorial: https://www.youtube.com/watch?v=8XjUIG4sZO8

Cost:

Paid
Partially Free
Free

Data Processing

Account required:

Cookies:

N/A. None when we visited the URL on 17.02.26.

Use in Reporting

Ideal to visualise large scenes for investigative/journalistic purposes, and to reconstruct locations in OSINT investigations. Biomedical researchers have used Autostitch to automatically stitch microscope images for scientific analysis.

Capabilities

Limitations

Automatic image alignment and stitching. Minimal user input required.

Only works with photos with sufficient overlap.

Supports multiple images and generates high-resolution panoramas.

Cannot correct heavily distorted or low-quality images.

Useful in fields such as journalism, OSINT, and academic research for scene reconstruction.

Limited advanced editing features.

Summary

Best used in the scene reconstruction and visual analysis stage of an investigation, Autostitch helps reveal spatial relationships, sightlines, landmarks and movement across a location that may not be clear in isolated images. However it should be treated as a reconstruction aid rather than evidentiary proof.

Ownership

Autostitch has been developed by Matthew Brown & David G. Lowe. Matthew Brown is a computer vision researcher, based in the Greater Vancouver area, currently working as a Principal Scientist at Wayve. No confirmed nationality details, although reports suggest US. David G. Lowe is a Canadian computer scientist currently working for Google as a senior research scientist.

(Information correct as of 17.02.26)

Ethical Considerations:

Ensure images used are legally obtained and free of copyright restrictions.
Panoramic images can be misleading if taken out of context so maintain integrity in reporting.
Consider redaction of identifying details such as faces, addresses, vehicle plates that were not visible in isolated shots (where publication could cause harm).