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.
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Annot8▲140The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
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FastCut▲363Hi HN, We're two final-year college students from India, and we just launched FastCut – an AI tool to help creators, coaches, and marketers quickly edit there short form content (Reels, Shorts, TikToks) to make it more engaging. The goal is simple: Let users upload a raw video and get back a polished, engaging short in minutes — without touching a timeline. FastCut does the following: Automatically trims silences and filler content - Adds clean, animated captions using speech-to-text - Enhances audio - Pulls in relevant images (via Google Search), stock clips, stickers, and GIFs - Adds…
2023 · fastcutai.co · its alternatives →
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NeuraVid▲142Find & analyze videos instantly with AI-powered search
2025 · neuravid.io · its alternatives →
- 5QB
2018 · blog.machinebox.io · its alternatives →
- 6OD
2021 · strayrobots.io · its alternatives →
- 7UD
2018 · modeldepot.github.io · its alternatives →
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Add questions, branching, buttons, hotspots, lead capture, and calls to action to any video. Track answers, clicks, paths, and completion by viewer.
2018 · mindstamp.io · its alternatives →
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A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir
2024 · github.com · its alternatives →
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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 →
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An online course on how to detect objects in real time
2019 · lode88vn.skin · its alternatives →
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LabelGPT▲48Supercharge vision model training with auto object detection
2023 · try.labellerr.com · its alternatives →
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Transform prompts and images into videos
2024 · magnific.com · its alternatives →
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Identify deepfakes and manipulated videos using AI analysis
2024 · attestiv.com · its alternatives →
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The machine learning API for non-experts
2022 · nyckel.com · its alternatives →
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Get actionable insights from any video in minutes. Our AI extracts key moments, generates summaries, and turns hours of footage into clear, decision-ready intelligence.
2015 · scan.video · its alternatives →
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Freezur AI▲58Create viral videos & build a following on YT, Insta and TT
Feb 2026 · its alternatives →
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Automatically turn long videos into shareable clips with AI
2022 · its alternatives →
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Camera web app that connects to a (fast.ai) CNN. Contribute to TylerNoblett/fastai-cnn-camera-app development by creating an account on GitHub.
2020 · github.com · its alternatives →
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MemeGen AI▲44Turn Photo into an Eye-Catching Video in One Click
2025 · popvid.ai · its alternatives →
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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 →
- 24
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 →
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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 →