www.transcriptionists.com
Show HN: Hitoku Draft – Context aware local assistant
Hi guys.I have been working on Hitoku Draft, an open-source, voice-first AI assistant that runs entirely locally. I posted about it already, and now it has also transcription with voice editing. Looking for feedback, as I found that outside tech circles other people still do not use this tech much.It's context-aware, in the sense that it reads your screen, documents, and active app to understand what you're working on. You can ask about PDFs, reply to emails, create calendar events, us
Notes about a random free project I did 30 days ago (yt video transcriptions)
So about one month ago I did setup a fairly simple youtube transcription website, I have been vibe coding it for around 2 days and shipped the initial version;The whole thing about it is because I want to crack the SEO game once for all and Im changing my strategy by offering useful tools to people.All my previous attempts were focused on making the next useless blog where i generated articles with AI; that
Google would ban after one week.After 30 days my website is still indexed and live on go
A wild idea: Abstract reality using ontology
# A Wild Idea: Abstract Reality with Ontology## Background
Large language models (LLMs) debuted with GPT-3 back in June 2020. After roughly five to six years of development, I believe the technology is still in its infancy, with massive room for improvement. A major priority is building powerful models that run on fewer resources, especially capable models that can operate smoothly on CPUs.More crucially, the engineering ecosystem around LLMs is also at an early stage. Many unresolved challenges
Show HN: We built a tool to dub any video in the original voice in 40 languages
We kept seeing the same problem: creators make great content but the moment they dub it into another language, everything falls apart. Robotic voice. Music gone. Meaning lost. Lips not matching.
So we built Vaani. Whatever language you create in, wherever you are in the world, your content can reach a global audience. We clone your voice, match your gestures, preserve your music, and optionally sync your lips to the new language. 10+ Indian languages, 20+ global languages, all in minutes.
We bui
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Readable V3 speaking scanned PDF file in Adobe Reader
Readable v3 brings high-quality, on-device optical character recognition (OCR) to the heart of Readable
across three complementary capabilities: automatic in-place recognition (Readable Live Layer),
manual region capture (Text Extractor) and full document conversion (PDF Convert 2). All recognition
is performed locally on the PC; no images or document data are sent to any remote service. This shows the dynamic OCR , speech and highlighting in place, and also profiles the Readable Banner. The Rea