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Alternatives

Products that do what FluxTranslate — LLM Inline Translator does

Translate web pages in context - instantly, and naturally.

  1. 1
    Translatr144

    Translate words into multiple languages at once

    2016

  2. 2CH
  3. 3

    Translate your subtitles to any language with LLMs

    2024

  4. 4

    Translate everything in Notion

    2022

  5. 5IW

    Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…

    2024 · github.com

  6. 6

    Translate React applications to any language within minutes

    2022

  7. 7

    Auto-translate messages, documents and images in Slack

    2020

  8. 8

    Globalize Knowledge

    2025

  9. 9

    Translate with ChatGPT

    Jan 2026 · chatgpt.com

  10. 10

    Learn the words you translate with one click

    2019

  11. 11

    A privacy‑focused, full‑featured translation in your browser

    2024

  12. 12RL

    We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…

    Mar 2026 · github.com

  13. 13LS
  14. 14FG

    We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.

    2023 · github.com

  15. 15

    Translate any webpage text in 2 steps, no copy-paste, no OCR

    Jun 2026 · qtrans.737703.xyz

  16. 16

    Automatically translate slack messages and threads

    2021

  17. 17

    Translate any on-screen text with a simple drag

    Mar 2026 · screentranslate.filient.ai

  18. 18

    Translate manga, scans or images with the power of AI

    2022

  19. 19SF

    I built https://stringflux.io/ to make everyday string transformations a little less painful. It’s similar to CyberChef in the sense that it supports multiple string operations, but with a cleaner, more focused UI and smart suggestions based on your input. You can also chain transformations — for example: decode base64 string which was base64 encoded from minified json → then json format (pretty-print) it — all in one flow. This is helpful when dealing with complex or nested strings, like encoded API responses or log data, where you need to apply multiple steps to make the…

    2025 · stringflux.io

  20. 20

    Instantly translate images across languages

    2025

  21. 21AC

    Hey HN! I'm working on OpenPipe, an open source prompt workshop. I wanted to share a feature we recently released: prompt translations. Prompt translations allow you to quickly convert a prompt between GPT 3.5, Llama 2, and Claude 1/2 compatible formats. The common case would be if you’re using GPT 3.5 in production and are interested in evaluating a Claude or Llama 2 model for your use case. Here's a screen recording to show how it works in our UI: https://twitter.com/OpenPipeLab/status/1687875354311180288 We’ve found a lot of our users are interested in…

    2023

  22. 22LA

    G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…

    2023 · github.com

  23. 23TE

    Hi When you are learning a new language, you need to practice different skills: reading, listening, speaking, writing. I find writing to be the hardest activity, not least because I have to look up words in the dictionary all the time, and that is a frustrating context switch. Here is an experimental CodeMirror-based editor, that lets you look up translations inline. Type @ followed by the English word, and get a list of possible translations, and select the translation to apply it. Online demo: https://foreign-dispatch-autocomplete.netlify.app/

    2022 · github.com

  24. 24ND

    Hi HN, We built Neurooo.com, an automatic translation tool like DeepL or Google Translate, but using LLMs with OpenAI and Mistral. We noticed that LLMs were quite good at translating informal or contextual text, and also way cheaper than DeepL or Google Translate when you factor in the cost per character. So we decided to try and build a similar translation interface to see if we can match the leaders in term of ease of use and quality. We're quite happy about it and people around us seem to think that we're even better in many cases (abbreviations, informal emails, business translations,…

    2024 · neurooo.com

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