from /u/Papalima01:

https://v.redd.it/77i7u4e76wuh1

Hi everyone,

I’m a fairly new radio amateur from Denmark, and one of the things I’ve found surprisingly difficult is catching callsigns when people are speaking quickly, signals are weak, or there’s a lot going on during a QSO.

So I started building a small iPhone app called QSO Transcriber.

In this video I’m showing the listening and transcription part of the app. It listens to the radio audio, transcribes the conversation in real time, and tries to identify possible callsigns and other useful QSO information.

Detected callsigns are highlighted in the transcript and collected in a list, so you can quickly go back and check what you may have heard.

It’s definitely not magic. Speech-to-text can still struggle with poor radio audio, but that’s actually one of the things I’ve spent a lot of time working on: interpreting amateur radio speech, phonetics and callsign patterns on top of the transcription.

It was created to help myself and other new radio amateurs have more relaxed, less stressful and more enjoyable conversations on the air.

The app is currently going through the Apple App Store review process, so I’m hoping it will be available soon.

I’d genuinely be interested to hear what other radio amateurs think of the idea and whether you could see yourself using something like this.

M0MCX has very kindly given me permission to use some of his highly inspiring QSOs for testing and demonstrating the app.

73 from Denmark
OV9PL
QSOtranscriber.com

from /u/Mastodon987:

Hi guys. I'd like to share with you my tool where you can craft in GUI DMR bursts and streams (Single channel). Main purpose is for experimenting and learning about DMR protocol. Supported only ETSI standard.

Main features are:

• Create IQ File for SDR apps

• Stream into audio device baseband transmission

• rtl_tcp supported

Tested on:

IQ: SDRSharp, SDRPlusplus

rtl_tcp: SDRSharp, SDRPlusplus, dsd-fme, dsd-neo

WAV file: dsd-fme, dsd-neo, DMRDecoder (by IanWraith)

Known issues - not working:

• UDT LIP protocol

• USBD Response

I developed it due to i do have working on multiple DMR related projects and i wanted to make my own library and GUI for testing.

Notes:

• Source code is not published.

• GUI was made with LLM assistance. DMR library itself i spent few years my own work on dev and testing.

• Ready for translations

• Dark/White theme supported

Releases available for Windows/Linux:

https://github.com/mastodon987/dmr-craftbox

I've been building a logging program called QRZero. I wanted something that stays quick with a big log and doesn't get in the way mid-QSO. It's an alpha, free, and open source.

What it does today:

- Fast logging. The log is one SQLite file, and searches stay quick on a 200,000-QSO log.
- Every ADIF field is kept, including fields other programs add. Daily automatic backups.
- Talks to WSJT-X, JTDX, N1MM+, Hamlib, TCI (AetherSDR/Flex), serial CAT and rotators (GS-232).
- DX cluster and band map with a "Needed now" list. Spots that would be a new DXCC, band or mode raise an alert, and spot split comments like "UP 5" are handled.
- Awards: DXCC, WAS, WAZ, WPX, plus SKCC, CWops (with CWT medals), NAQCC and FISTS.
- Uploads and confirmations: QRZ Logbook, Club Log, LoTW and eQSL. Paper QSL and OQRS tracking, with Brother QL label printing.
- Layout is dense and classic. Panes can be moved, tabbed and popped out to a second screen.
- Local first. Your log stays on your machine, and passwords go in the OS credential store.

Windows is the main platform and gets the most testing. There are also Linux (.deb, .rpm, AppImage) and macOS Apple Silicon builds, and a headless server you can reach from a browser.

I'm a DX chaser and hand-key CW, so that's where most of the testing has been. Much of the online service code (QRZ, Club Log, LoTW) hasn't been tried against live accounts by many people yet. I'd really like testers, bug reports and feature requests, especially from people running other rigs and setups than mine.

Downloads: https://github.com/nreed97/QRZero/releases
Source and docs: https://github.com/nreed97/QRZero

73

as posted by /u/gerald_artner:

Hi everyone!

My article about ARTNER (AI Radio Transmitter Notification and Emission Reporter) has been published in the October 2026 issue of QSP, the magazine of the Austrian Amateur Radio Society (ÖVSV).

DX clusters and the Reverse Beacon Network have long supported automated spotting of digital modes and CW. Voice transmissions still depend on manual spotting.

ARTNER is my experimental approach to closing that gap. It combines speech recognition with a large language model to identify amateur radio callsigns and determine whether a station is calling CQ. The system then automatically submits suitable spots to the DX cluster.

I've tested it during the ARRL International DX SSB Contest in March 2026 and have been running a longer experimental test on the 70 cm Kahlenberg repeater OE1XUU in Vienna.

Amateur radio operators can try it themselves via EchoLink OE1XUU. Spell your callsign and call CQ several times to get spotted! Enjoy the contacts with Vienna.

It's still experimental, and false recognitions, missed callsigns and operating costs remain challenges. I discuss the implementation, test results, limitations and potential for further development in the article.

📡 Read more:

• My website: https://www.geraldartner.com
• Article: https://www.geraldartner.com/files/Artner2026QSP_EN.pdf
• Automatisiertes DX Cluster Spotting für Sprache, QSP 10/26
• ÖVSV QSP magazine (6 month delay for free access): https://www.oevsv.at/downloads/

I'm curious what the amateur radio community thinks: Could AI-based voice spotters become a useful complement to CW Skimmer and the Reverse Beacon Network? What would be the biggest technical challenges in your opinion?

73 de Gerald, OE1GAQ 🇦🇹