Automated Audio Transcription Desktop App

@AwaisChaudhry

Hello, I understand you want a private MacOS desktop app that taps a 24/7 scanner feed, real-time transcribes, extracts date/time, units, call type and address, filters for specific units, sends iPhone push alerts, and shows a local dashboard. My approach is to build a small, robust core using Python with Whisper for ASR and a lightweight data extractor. The app will maintain a persistent stream, normalize transcripts, and parse structured fields via regex and NLP rules. A local dashboard will be served via a tiny local web UI (Flask) for quick inspection, and notifications will use a secure push path (e.g., APNs) to your iPhone. I’ll modularize: audio capture, transcription, data extraction, alerting and UI, with simple config to manage unit filters and alert rules. This keeps 24/7 reliability in mind, using a minimal memory footprint and clean error handling. What is the preferred stack beyond Python/Whisper, any constraints on APNs setup or VPN usage, and how many unique units should the filter support at minimum?

@Julian29

Hello, HAVE HANDS-ON EXPERIENCE WITH SUCH PROJECT I have 15+ years of proven experience in Python development, audio processing, and real-time data systems, and I clearly understand your requirement: build a private macOS desktop app that continuously listens to a scanner feed, transcribes dispatch audio, extracts structured data, and sends push notifications for selected units. The goal is a reliable, low-latency system for 24/7 operation with a simple dashboard for monitoring. -->> Continuous real-time audio capture and transcription (Whisper or similar ASR) -->> Structured data extraction: date/time, unit, call type, address -->> Unit-based filtering with selective logging and iPhone push notifications -->> Local web-based dashboard for call log review and filtering I will use a clean Python architecture with async audio handling, reliable local storage, and secure push notification integration, ensuring 24/7 stability and easy maintainability. I would like to clarify the audio feed format and notification method in chat to provide an accurate timeline and cost. Successfully implement this project from start-to-finish with stable operation and clear documentation. Thanks & regards, Julian

@corpmember29

Hello, I have carefully reviewed your requirement for a private macOS desktop application that continuously monitors a public scanner feed, performs real-time transcription, extracts structured dispatch data, and sends filtered push notifications. The workflow and reliability expectations are clear. With 10+ years of experience in Python systems, real-time audio pipelines, and automation tools, I can build this as a lightweight macOS background service using Python. The system would stream the scanner audio, process it continuously using a local speech-to-text engine (e.g., Whisper running locally for privacy), apply structured parsing logic (regex + NLP layer) to extract date/time, units, call type, and address, then filter based on your selected units. Push notifications can be implemented via Apple Push Notification Service (APNs) or a secure notification bridge to your iPhone. A simple local web dashboard (Flask/FastAPI + SQLite) will display searchable logs with timestamps, units, and call details. The system will include watchdog monitoring to ensure stable 24/7 operation. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PRODUCTION DEPLOYMENT. I eagerly await your positive response. Thanks.

@kamran2012

Hello, I can build your private MacOS desktop application with continuous 24/7 scanner feed processing real time Whisper transcription structured data extraction for unit type address and call type unit specific filtering and instant iPhone push notifications with a clean local dashboard for your full call log history. Whisper is the perfect fit here given the clear automated dispatch voice combined with a lightweight Python backend and persistent process management it will run reliably around the clock without memory leaks or audio dropout issues. I'll share relevant links with timeline and cost in chat. I want to understand your scanner feed format and notification preferences first so I can give you a clear and accurate estimate not just throw out a number. 1- How are you currently accessing the scanner feed and is it a direct audio stream URL or a radio device input? 2- How many specific units do you need to filter and alert on? Warm Regards, Kamran

@XanvraTECH

Hello, I am highly interested in developing the Automated Audio Transcription Desktop App for your personal use. I understand the project requirements of creating a MacOS application that transcribes real-time audio from a scanner feed, extracts structured call data, and sends push notifications based on specified units. With expertise in Mobile App Development, AI, Python, and Web Development, I am confident in delivering a reliable and efficient solution. Proposed Steps: 1. Implement continuous audio processing and real-time speech-to-text transcription. 2. Develop automatic extraction of relevant call data. 3. Integrate push notification feature for dispatch alerts. 4. Create a user-friendly dashboard for viewing call logs and details. - MY WORK STATS: ✨ https://www.freelancer.com/u/XanvraTECH I look forward to discussing this project further with you. Best regards, Warda Haider

@hireageek

Hi there, I'm excited about the opportunity to develop your automated audio transcription desktop app for MacOS. With extensive experience in audio processing and real-time transcription, I understand the importance of continuous listening and the need for precise, structured data extraction. My expertise spans natural language processing, speech recognition, and mobile notifications, making me confident in delivering a reliable solution that meets your specific requirements. I suggest utilizing Python along with Whisper for accurate speech-to-text transcription, ensuring the automated dispatch voice is parsed effectively. Additionally, I can create a user-friendly local dashboard to view call logs, filter specific units, and set up push notifications for your iPhone seamlessly. I estimate the project completion within 4-6 weeks, depending on your feedback and further requirements. Please message me directly to discuss any additional details or adjustments you may have. What specific units do you want to filter for alerts, and are there any specific features you'd like to prioritize in the UI? Thanks,

@melikatfz

Hi there, Regarding your project, I've noticed an overlooked optimization area that could significantly impact performance. Many fail to address server response times, which can bottleneck the entire system. My approach ensures these are minimized, allowing your platform to deliver faster load times and smoother user interactions. In the past, I optimized a similar project, reducing server lag by 40%, which enhanced user retention. I include 30 days of post-deployment bug-fixing as part of my service. What's the current server setup you're using, and have you faced any downtime issues recently? Let's discuss how I can help.

@Eliteinno

Hi, My team and I just reviewed your project, and we noticed a potential bottleneck in the system's architecture related to data handling. Our backend lead has a knack for optimizing databases to ensure they scale efficiently as your user base grows. But it's not just about the backend; our frontend architect ensures a seamless user experience, even under heavy load. We've successfully delivered a large-scale e-commerce platform that handled over a million transactions daily, using a tech stack that included Node.js, React, and MongoDB. The result? A 99.9% uptime and a blazing-fast user interface. I'll be your direct technical point of contact, and we'll set up a staging environment for you to test features before going live. Our devs are committed to transparent communication and agile development. How does your team envision the user journey evolving over the next year? Let's explore this together!

@trm66614

Hi there,Good evening I am Talha. I can work with your project skills Automatic Speech Recognition, Mobile App Development, Web Development, Audio Processing, AI (Artificial Intelligence) HW/SW, Python, Data Extraction and Natural Language Processing I am excited to present my proposal, which centers around a personalized approach designed to elevate your project. We will start with an in-depth consultation to gain a deep understanding of your project's unique requirements, goals, and constraints. Our commitment to customization means that we will tailor our services to align perfectly with your project, and we will explain how this approach will meet your expectations. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@extreamcode

Hi, I understand you're seeking a robust and private MacOS desktop app that continuously transcribes a scanner feed with real-time alerts for specific units. Having worked extensively with real-time audio processing, Python, and AI-driven transcription tools like Whisper, I can deliver an efficient solution tailored to your needs. I'll ensure continuous 24/7 listening with seamless extraction of essential call data and push notifications tailored to your specified units. Additionally, the web-based dashboard will be intuitive for reviewing logs while prioritizing reliability over flashy design. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. The timeline would likely span 3-4 weeks to ensure thorough testing and stability. What is the preferred format for push notifications on your iPhone (e.g., native app alert, SMS, or another method)? Best regards, Asad

@maximg10

Hello. Thanks for your job posting. ⭐Automated Audio Transcription Desktop App⭐ I'm the developer you're looking for. I can successfully complete your project. Let's chat for a more detailed discussion. Thank you. Maxim

@TechizeBuilder

Hi, I came across your project "Automated Audio Transcription Desktop App" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in Mobile App Development, AI (Artificial Intelligence) HW/SW, Web Development. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@Azursol

Dear Client, Hello, my name is and I specialize in developing custom desktop applications. I understand your need for an Automated Audio Transcription Desktop App for real-time transcription and structured data extraction from a scanner feed. With my expertise in audio processing and speech-to-text transcription, I am confident in delivering a solution that meets your requirements. I propose to develop a MacOS application that continuously processes the scanner feed, extracts relevant call data, and sends push notifications based on specified units. I will ensure reliable 24/7 operation and provide a user-friendly dashboard for easy access to call logs and alerts. I am eager to discuss this project further and explore how we can bring your vision to life. Thank you for considering my proposal. Best regards,

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I have built similar real-time transcription apps that continuously process audio streams, easily capturing and parsing automated dispatch voices into structured data. The key to success in this project is ensuring reliable, uninterrupted audio streaming and accurate real-time transcription paired with precise data extraction. Approach: ⭕ Set up a continuous audio listener on your MacOS that connects to the scanner feed. ⭕ Use Whisper or a similar speech-to-text engine optimized for clear, robotic voices. ⭕ Develop custom NLP logic to extract date/time, units, call type, and location. ⭕ Implement filtering to trigger alerts only for specified units. ⭕ Build a local web dashboard for call log visualization. ⭕ Integrate push notifications to your iPhone via a lightweight service. ❓ Could you please share the format or source URL of the scanner feed? ❓ Do you prefer push notifications via a specific service/app? I am confident in delivering a robust and reliable system that meets your 24/7 operational needs with a functional clean UI. Ready to start promptly and keep you updated through milestones. Best regards, Nam

@Umair969

Hi, This is a well-defined personal tool and the automated dispatch voice actually makes the hardest part accurate transcription much more reliable than dealing with natural speech. I'd build it in Python using OpenAI Whisper for real-time transcription, which handles clear automated voices extremely well. Audio captured continuously from the scanner feed, transcribed in near real-time, and parsed with a lightweight NLP layer to extract unit, call type, address, and timestamp from each dispatch. Unit filtering configured so you only get alerted on the specific trucks or ambulances you care about. Happy to discuss cost directly:D Cheers, Umair

@saifsolutions

Hi, Your project, "Automated Audio Transcription Desktop App," immediately caught my attention. I’ve reviewed your description carefully, and as a creative designer with extensive experience in Web Development, Mobile App Development, I’m confident I can deliver a solution that meets your expectations and aligns with your vision. Check out my profile here: ✨ https://www.freelancer.com/u/saifsolutions ✨ Feel free to reach out via chat or Freelancer call so we can discuss your project in more detail. Best regards, Saifullah

@GameOfWords

Automated Audio Transcription Desktop App I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@VianRey1

Missing a scanner dispatch can mean missing critical updates, especially when you need to track specific units in real time. Relying on manual listening or generic apps is frustrating and unreliable, leading to missed notifications or wasted time sorting irrelevant calls. With a private desktop app tuned just for your MacBook, you can expect instant, accurate transcription and push alerts to your phone the moment the units you care about are dispatched. Every call is logged with all the details you need, visible anytime in a simple dashboard. I would set up continuous audio capture from your scanner feed, add real-time transcription with structured data extraction, then connect filtered notifications to your iPhone and a clear local call log. Are there any special notification preferences or dashboard features you want to see in your app?

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack & AI Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Automated Audio Transcription Desktop App . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan