AI Audio Recorder & Feedback App

@infowider11

⭐⭐⭐⭐⭐ AI Voice Recording & Feedback Mobile App Development ⭐⭐⭐⭐⭐ Hello, How are you? I have checked JD and I am able to do your requirement with clear understanding of your project, so I am perfect for this project and will deliver you a high-performance, scalable audio + AI solution. Features: • Secure Authentication (Email + Social Login, Token Refresh) • High-quality Voice Recording (local save + background upload) • Server-side Speech-to-Text (OpenAI Whisper / Google Speech-to-Text) • AI Feedback Engine (clarity, pace, filler words, scoring) • Session History (audio playback, transcripts, comparisons) • Real-time Processing & Feedback • Secure Backend (Firebase / Supabase) • File Storage & API Layer for CRM integration • Settings (dark/light mode, export transcript, delete account) Let’s Chat… Thanks

@augurstech

A Warm Hello! We are readily available to start working on this project! This is a strong, well-defined product idea and one that requires careful execution across audio capture, AI accuracy, and mobile performance. As an agency with experience in mobile apps + speech processing + AI integrations, we’re well-positioned to deliver a polished, production-ready solution. We will provide you cross-platform mobile app (iOS + Android) where users can: - Log in securely - Record high-quality voice audio - Receive near-error-free transcription - Get AI-driven feedback (clarity, pace, filler words, etc.) - Track progress via session history The key priorities are: > Audio quality > Transcription accuracy > Meaningful AI insights > Smooth UX across devices Please let us know a convenient time to connect. Looking forward to building this with you. Best regards, Ana

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you want a cross-platform mobile app where users can log in, record voice, get highly accurate transcripts, and receive AI-generated feedback they can review over time. It also needs a solid backend for secure auth, background audio upload, history, settings, and an open API that can connect with CRMs later. I’ve worked on mobile apps with backend integrations and AI-driven workflows, so I understand the importance of audio quality, reliable uploads, and keeping the experience smooth on both iOS and Android. My approach would be to build the app in a fast but stable cross-platform stack, set up secure auth and storage, use a strong speech-to-text service for high accuracy, then layer in the AI feedback engine and history/comparison flow with clean API structure. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – Do you want the transcription and AI feedback to happen fully in real time after upload, or is a short processing delay acceptable? Q2 – Which login methods do you want in phase 1 besides email: Google, Apple, or both? Q3 – For the CRM integration, do you already have a target CRM and required API fields, or should I design the Open API to be flexible for multiple CRMs? Looking forward to hearing from you.

@corpmember29

Hello, I’ve reviewed your project requirements and can deliver a full-stack mobile app that captures voice recordings, provides near-error-free transcripts, and generates AI-driven feedback. APPROACH → design cross-platform mobile app using Flutter (or React Native if preferred) → implement secure email/social login with token refresh → integrate high-quality audio recording, store locally first, then upload in background → server-side transcription using OpenAI Whisper / Google Speech-to-Text for minimal errors → AI analysis module evaluates clarity, pace, filler words, and provides actionable feedback in real-time → build history screen to replay audio, read transcripts, and track feedback trends → settings include dark/light theme toggle, delete account, export transcript → ensure scalable, secure backend using Firebase or Supabase with proper auth, file storage, and API access to your CRM. DELIVERABLES → full source code (mobile + backend), API documentation and setup guide, test builds via TestFlight/Play Console, and open API integration for CRM. With previous experience building production-ready audio apps and implementing speech-to-text + NLP pipelines, I can ensure a smooth, responsive user experience with precise transcription and insightful feedback. Ready to start and deliver a polished MVP for iOS and Android. Thanks

@softsolution2000

I have extensive experience in Mobile App Development, iPhone, Android, Objective C, and React Native, making me a great match for the AI Audio Recorder & Feedback App project. I am confident in my ability to deliver high-quality work within your budget and timeframe. Let's discuss the project scope further to adjust the budget accordingly. Please review my 15-year-old profile to see my past work. I am eager to start working on this project and demonstrate my commitment. Looking forward to hearing from you.

@Hammadhassan21

Hey, I’m an experienced full-stack mobile developer with a strong background in building production apps for both iOS and Android. I’ve worked extensively with Flutter and React Native to create smooth, high-performance apps that handle audio recording, playback, and real-time processing, integrating back-end services using Firebase, Supabase, or custom Node/PHP/Python APIs. I’ve also implemented advanced speech-to-text and AI features using tools like Google Speech-to-Text, OpenAI Whisper, and NLP modules to deliver highly accurate transcriptions and intelligent feedback. I can build your app’s core flow end-to-end: secure email and social login with token refresh, high-quality voice recording stored locally then uploaded in the background, server-side transcription targeting near-zero errors, and an AI analysis module that scores clarity, pace, and filler-word usage, returning actionable insights in real time. I’ll also implement a clean history screen to replay audio, read transcripts, and compare feedback across sessions, alongside basic settings like theme toggle, account deletion, and transcript export. Let’s start a chat to discuss a few technical questions, and I’m ready to start immediately. Thanks...

@TalhaAhmed02

Hi, We can build your cross-platform app end-to-end with a strong focus on recording quality, transcription accuracy, and clean AI-driven feedback. The flow you described is very clear, and we’ll structure the system to keep audio capture lightweight on-device while handling processing securely on the backend. For the stack, we’d typically suggest Flutter or React Native for fast, stable iOS/Android delivery, paired with a scalable backend like Firebase or Supabase depending on cost and control needs. For transcription, we can integrate Whisper or Google Speech-to-Text, and layer AI analysis using OpenAI or a similar NLP model for scoring clarity, pace, and filler usage in real time. You’ll receive full source code, API documentation, test builds, and a clean setup guide. We can also expose APIs for CRM integration as requested. Happy to share relevant audio/AI app work and discuss the architecture in detail before we begin.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Mobile App Development, iPhone, Android, Objective C, React Native, Flutter, API Development, Natural Language Processing and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@mrresearcher99

Hi there, I’ve reviewed your Flutter app requirements and would love to help. With 5+ years of experience in cross-platform development, I specialise in clean UI, smooth performance, and robust API integration. I’ll begin with clear planning, share regular progress updates, and ensure the app is fully tested before launch. Let’s connect to discuss your vision — I’m ready to get started! Best, Bhargav Flutter Developer | Android & iOS Expert

@kamran2012

I can help with this, I will build your AI audio recorder app for iOS and Android with secure login, high-quality voice recording with background upload, server-side transcription using OpenAI Whisper for near-error-free accuracy, and an AI analysis module that scores clarity, pace, and filler-word usage with actionable feedback. The app will include a history screen for replaying audio, comparing sessions, and exporting transcripts. For the recording pipeline, I will capture audio locally in a lossless format, then compress and upload in chunks via a background task so recordings are never lost even if the user closes the app mid-upload. This also keeps the transcription input high-quality for better accuracy. Questions: 1) Do you want the AI feedback generated in real time as the user speaks, or after the full recording is submitted? 2) Should the CRM-facing API support webhooks for new recordings, or will external systems poll for updates? 3) Do you have a preference between Flutter and React Native, or should I recommend based on audio recording quality? Let us discuss via chat. Best regards, Kamran

@AITSoft

Hi there, I understand you want a mobile app that works on both iOS and Android where users can record their voice, get a highly accurate transcript, and then receive real-time helpful feedback on clarity and speech pace. My approach is to build the app using either Flutter or React Native for quick delivery without losing audio quality. On the backend, I will use a secure and scalable solution like Firebase or Supabase to handle login, file storage, and token refreshing safely. For transcription, I will integrate top speech-to-text engines like Google Speech or Whisper to ensure minimal errors. The app will have a clean history feature and important settings like theme toggle and export options. I will also provide thorough API documentation and test builds for your approval. Which speech-to-text and NLP libraries do you prefer or have you already evaluated for licensing and operational cost? Thanks,

@n2rtechnologies

Hi there, I reviewed your requirements and this is exactly the kind of project we handle well. An AI audio recorder with feedback across iOS and Android needs solid architecture — we've built similar apps using both React Native and Flutter depending on the specific needs. I have a couple of questions about your NLP integration and whether you're leaning toward one framework or open to recommendations based on your feature set. Let's chat about it. I have delivered 1500+ web and mobile projects over 14+ years — happy to share relevant examples. Thanks, Hasan

@kareemmaize

Hi there To deliver an app with “near-error-free transcript” and real-time AI feedback, the most critical part is building a reliable audio pipeline from recording to transcription to analysis without quality loss. I’ll approach this by implementing high-quality local recording with background upload, then using a production-grade speech engine (e.g., Whisper or Google Speech) combined with a structured AI analysis layer to evaluate clarity, pace, and filler words. This ensures both accuracy and actionable feedback, not just raw transcripts. This means I understand how to turn audio + AI into a consistent product experience across iOS and Android. In similar builds, the focus has been on optimizing transcription accuracy, reducing latency, and structuring AI outputs into clear, user-friendly insights rather than generic responses. My process is simple: define the audio + AI pipeline, build mobile and backend systems, then validate accuracy and performance before release. I’m ready to begin with architecture design and a working recording-to-transcript prototype within days..

@Herculesz

Hi I can build this as a cross-platform mobile app with a secure backend, high-quality audio capture, accurate server-side transcription, and AI-driven speech feedback that feels fast and reliable. The main technical challenge is preserving recording quality, handling background uploads safely, and then combining near-best-in-class speech-to-text with structured analysis for clarity, pace, filler words, and actionable coaching. I would solve that by using Flutter or React Native for rapid cross-platform delivery, paired with Firebase or Supabase for auth/storage, and a transcription pipeline built on Whisper or Google Speech depending on your accuracy, latency, and cost goals. My experience includes mobile app development, audio workflows, secure authentication, transcript/history systems, and AI-backed analysis features that need clean UX and stable backend orchestration. I would also design the history and comparison flow so users can replay sessions, review transcripts, track improvement, and export results easily. The architecture would stay modular so the Open API can connect cleanly to your CRM later without reworking the core app. The result will be a production-ready iOS/Android app with reliable recording, strong transcription quality, and practical AI feedback users can act on. Thanks, Hercules

@shrec

I can build your cross-platform app (iOS & Android) with secure login, high-quality voice recording, accurate transcription (Whisper/Google Speech), and AI feedback (GPT). Deliverables include full source code, API docs, test builds, and CRM-ready API. Experienced in production audio apps and speech tech.

@codefusion53

Hi I understand you need a full-stack mobile app for iOS and Android that allows users to record their voice, receive near-perfect transcripts, and get AI-generated feedback on clarity, pace, and filler-word usage. The app should include secure login, local-first audio storage with background upload, session history with playback, and basic account settings, all wrapped in a polished, responsive interface. My approach would be to develop the app in Flutter for a single codebase across platforms, ensuring high-quality audio capture. For transcription, I would integrate OpenAI’s Whisper or Google Speech-to-Text to achieve low error rates. AI feedback would leverage an NLP pipeline to score clarity, pacing, and filler-word frequency, returning actionable suggestions in real time. The backend could be implemented on Firebase or Supabase to securely handle authentication, storage, and data syncing. I would provide source code, API documentation, and test builds for smooth review and hand-off. Pre-delivery, I will conduct end-to-end testing of audio recording, transcription accuracy, AI feedback, history functionality, and cross-platform performance to ensure reliability and a seamless user experience. Best, Justin

@DeveloperStation

Hi, We’ve developed several audio-focused apps, including a voice recording app that uses AI to analyze recordings and provide actionable feedback. We also built a fully functional MVP for a product similar to Descript, where users can upload audio/video files and receive AI-generated transcripts and summaries. For your project, we can use a combination of Google Speech and Whisper APIs to ensure high-quality transcriptions. We can also implement a custom AI model to analyze recordings for filler words, tone, and pace, providing users with valuable insights. Let’s schedule a 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@melikatfz

Hi there, your project demands a nuanced approach to ensure high-quality voice recording and seamless AI feedback. Handling the potential transcription errors with precision requires a deep dive into optimizing server-side processes, which I can deliver efficiently. My strategy includes advanced error-correction mechanisms to enhance speech-to-text accuracy, ensuring your users receive the best possible service. Previously, I developed a mobile app where real-time speech analysis improved user engagement by 30%, utilizing sophisticated NLP libraries for precise feedback. I include 30 days of post-deployment bug-fixing to guarantee smooth operation. Regarding the AI analysis module, are you considering any specific metrics for scoring clarity and pace? Let's discuss this in more detail.

@Infineosoft

Hi, I’d love to help you build this cross-platform voice analysis app with a strong focus on accuracy, performance, and clean UX. I recommend Flutter for a single high-performance codebase across iOS & Android, paired with a scalable backend (Firebase or Supabase). For speech-to-text, I suggest OpenAI Whisper or Google Speech-to-Text—both offer near state-of-the-art accuracy. For AI feedback (clarity, pace, fillers), I’ll integrate NLP models via OpenAI APIs or similar, ensuring real-time, actionable insights. How I’ll approach it: • Secure auth (email + social) with token refresh • High-quality local audio capture with background upload • Robust transcription pipeline optimized for accuracy • AI scoring system with structured feedback (clarity, pacing, filler words) • Clean history dashboard to review, replay, and compare sessions • Polished UI with dark/light mode, export, and account controls Deliverables: • Full source code (mobile + backend) • Well-documented APIs + setup guide • TestFlight & Play Store builds • Open APIs ready for CRM integration Let’s build something powerful and reliable. Best regards, Infineosoft