Wipe AI
Remove text from videos with AI
Wipe AI launched on May 9, 2026.
In plain words
Wipe AI is a browser-based tool that removes text, watermarks, logos, and subtitles from videos using artificial intelligence. Users can select unwanted elements and preview results before downloading, with no signup or software installation required. The tool works with videos from various platforms including TikTok, YouTube, and Instagram, offering a simple interface for editing authorized content.
written from the facts on this page · September 2026
From the sources
Remove watermarks, logos, text, subtitles, and unwanted objects from any video online with AI. Works for TikTok, CapCut, Kinemaster, YouTube, Instagram & more. Free, fast, browser-based — no download, no signup needed.
Remove text, hardcoded subtitles, logos and visible watermarks from authorized video online with Wipe AI. Preview five seconds free before choosing a plan.
Wipe AI is a browser-based AI video inpainting tool from wipeai.cloud. It helps people remove visible text, subtitles, logos, and watermarks from videos they own or are authorized to edit. Use the original export first when available; otherwise select the visible pixels, process a short preview, and inspect the result before downloading. One simple workspace for useful video work, without complicated timelines. Mark text, subtitles, logos, or watermarks. Wipe AI rebuilds the pixels behind them instead of simply cropping the frame. Every tool opens the same familiar workspace, so you can focus on the result instead of learning another interface. Inspect metadata, extract a frame, and preview…from wipeai.cloud
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Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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