AI · alternatives · 2026
24 alternatives to Malt
The fastest way to turn videos into training data
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Malt launched in 2022; newer entries below may have overtaken it.
- 1
Annot8▲140The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
- 2
- 3
- 4
NeuraVid▲142Find & analyze videos instantly with AI-powered search
2025 · neuravid.io · its alternatives →
- 5OD
2021 · strayrobots.io · its alternatives →
- 6
- 7BA
Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…
2023 · usezeroshot.com · its alternatives →
- 8
An online course on how to detect objects in real time
2019 · its alternatives →
- 9
- 10
Transform prompts and images into videos
2024 · magnific.com · its alternatives →
- 11
Identify deepfakes and manipulated videos using AI analysis
2024 · attestiv.com · its alternatives →
- 12AA
2022 · github.com · its alternatives →
- 13
- 14
Antal.Ai▲71Detects and obscures people in realtime video streams
Feb 2026 · antal.ai · its alternatives →
- 15
Instant AI training data with auto labels
2025 · snapmeasureai.com · its alternatives →
- 16
Find the bite-sized segment you want in any long videos
2019 · its alternatives →
- 17
- 18
- 19
- 20
- 21FR
Fresh and (I think) clean implementations of Faster R-CNN in PyTorch and TensorFlow 2/Keras. I wanted to learn about object detectors and decided to understand and implement a foundational model in the field, Faster R-CNN (elements of which are still used in modern models to this day), using the paper alone. That proved to be more difficult than expected and I had to relent and take a peak at existing implementations to fill in some important gaps. I've documented my struggles and learnings in the README for others to benefit from. I also wanted to solidify my understanding of…
2022 · github.com · its alternatives →
- 22
I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct…
Mar 2026 · useful-ai-tools.com · its alternatives →
- 23FA
2020 · github.com · its alternatives →
- 24
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →