ldenoue

extension for Chrome will be here: https://chromewebstore.google.com/detail/gpgkihaonhnhfabcmgn...

weekend project that uses the latest Chrome Summarizer API, but also YOLO to process PDF pages and find images, tables, and math formulas.

Readability (Mozilla) is used when you open regular web pages, but PDF.JS (also Mozilla!!) is used to render each page, run YOLO region detection and then generate a clean HTML. Math formulas are rendered as Latex, and tables are rendered into HTML by detecting their structure using Texo/FormulaNet.

Finally, you can read out loud the readable articles/PDFs using another local TTS (I prefer PocketTTS personally, but wanted to try the newly released and tiny Inflect TTS as well, so it's an option).

Let me know if you find this useful.

I should probably publish them to the Chrome and Firefox stores.

do you have sample PDFs?

Not yet. for now this one from Alessandro works well: https://huggingface.co/Armaggheddon/yolo26-document-layout

Converted to ONNX of course, and also CoreML for the iOS app. I haven't yet tried on Android. Does it work for you if you have an Android phone?

this app runs entirely in your browser. thanks to Codex, it now uses a YOLO detector using ONNX to detect regions in each rendered PDF page image (text, pictures, formulas, tables). based on this analysis, PDF Reflow then cuts out TEXT regions into tiny little word images and adds back the original text from the PDF (when available) so you can still select and find text in the reflowed HTML render.

Hope you find this useful. The original version used heuristics, but frankly it was breaking on many more PDF that I'd want to admint.

This new AI-based version that uses a YOLO detector trained specifically on Doc Layout dataset seems to do a very very good job.

Cooking a local AI version of PDF Reflow to show PDFs on mobile and keep all the look and feel (font, formulas, pictures, tables) yet formatted for a smaller screen.

It’s using a local YOLO detector trained specifically on detection pdf page regions.

https://www.appblit.com/pdfreflow

The old version works and has many users who love it to read scientific papers, but its heuristics based and was in my opinion failing on edge cases that this new AI approach solves.

I created QuickScre because I wanted a no editing way of recording polished screen recordings for Slack etc. Free to try https://www.appblit.com/quickscreen

I recently released QuickScreen give it a try for free https://www.appblit.com/quickscreen and one time purchase for $7.99 lifetime

I grew tired of endless YouTube videos, X articles or web articles. So this app lets you open any link and you instantly get an AI summary + brief about the content.

(It's free up to 20 articles because there are real costs: I use Gemini to summarize the pages you open)

AI voices run locally on your iPhone/iPad (web extension version coming soon).

When you find something useful, you can share the overviews online (free hosting), e.g. https://voiceview.app/a/2J49UnwK

Hope this helps cut the noise and help folks save time.

Laurent

It doesn't have to be. You can configure your bot to great the user. E.g. "Aleksandra is not available at the moment, but I'm her AI assistant to help you book a table. How may I help you?"

So you're telling the caller that it is an AI, and yet you can have a pleasant background audio experience.

I don't but I should open source this code. I was trying to sell to OEM though, that's why. Are you interested in licensing it?

I am not using speech to speech APIs like OpenAI, but it would be easy to swap the STT + LLM + TTS to using Realtime (or Gemini Live API for that matter).

OpenAI realtime voices are really bad though, so you can also configure your session to accept AUDIO and output TEXT, and then use any TTS provider (like ElevenLabs or InWord.ai, my favorite for cost) so generate the audio.

Check out something like LayerCode (Cloudflare based).

Or PipeCat Cloud / LiveKit cloud (I think they charge 1 cent per minute?)

Yes DO let you handle long lived websocket connections. I think this is unique to Cloudflare. AWS or Google Cloud don't seem to offer these things (statefulness basically).

Same with TTS: some like Deepgram and ElevenLabs let you stream the LLM text (or chunks per sentence) over their websocket API, making your Voice AI bot really really low latency.

I built a voice AI stack and background noise can be really helpful to a restaurant AI for example. Italian background music or cafe background is part of the brand. It’s not meant to make the caller believe this is not a bot but only to make the AI call on brand.

The problem with PipeCat and LiveKit (the 2 major stacks for building voice ai) is the deployment at scale.

That’s why I created a stack entirely in Cloudflare workers and durable objects in JavaScript.

Providers like AssemblyAI and Deepgram now integrate VAD in their realtime API so our voice AI only need networking (no CPU anymore).

I developed a stack on Cloudflare workers where latency is super low and it is cheap to run at scale thanks to Cloudflare pricing.

Runs at around 50 cents per hour using AssemblyAI or Deepgram as the STT, Gemini Flash as LLM and InWorld.ai as the TTS (for me it’s on par with ElevenLabs and super fast)

Would be useful to get a preview of the code

Which browser and computer ?

YouReadTube is the new name because it’s easier to remember and also insert “read” on any YouTube link

In browser transcript beautification using a mix of small models (Bert, all-MiniLM-L6-v2 and T5) for restoring punctuation, finding chapter splits and generating the headers.

Check out https://ldenoue.github.io/readabletranscripts/ and the website https://www.appblit.com/scribe that use Gemini to post correct the raw transcripts

Unless you fetch directly from your browser. It works by getting the YouTube json including the captions track. And then you get the baseUrl to download the xml.

I wrote this webapp that uses this method: it calls Gemini in the background to polish the raw transcript and produce a much better version with punctuation and paragraphs.

https://www.appblit.com/scribe

Open source with code to see how to fetch from YouTube servers from the browser https://ldenoue.github.io/readabletranscripts/