VoiceAI
Simplifying Speech-to-Text for Everyone
VoiceAI, a key product in NeuralSpace’s suite, automates both real-time and file transcription, eliminating manual effort and reducing processing time. With a multi-lingual support for Arabic, Indic, English, and European languages, it expanded market reach and increased NeuralSpace’s user base by 30%.
📌 Overview
This case study dives deep into the end-to-end journey of building VoiceAI, covering everything from discovery and user research to product design and marketing campaign.
By balancing user experience, business goals, and technical feasibility, this project delivered a 30% increase in user adoption and was recognized by AI industry professionals for its seamless UI.
👥 Who We Built For
We designed VoiceAI for two primary user groups, each with distinct needs:
🎨 What we built
To bridge the gap between these diverse users, we created VoiceAI, a seamless, AI-powered transcription platform with:
💿 Working demo of the Voice AI platform
🎨 How we built
🔍 Stakeholder & Competitive Insights
We conducted interviews with key stakeholders—our CTO, Product Head, Engineers, Marketing Head, and Sales Head—to align business, technical, and user needs.
Simultaneously, we analysed leading transcription tools, like Speechmatics & Deepgram, to identify the gaps and needs.
💡Competitor Insights & How We Responded
🔍 Personas
🛠 Phase 1: Lo-Fi Wireframes
Dashboard
Record audio and see live transcription instantly.
Upload files to transcribe
Transcription of the uploaded files along with summary and sentiment analysis
View and manage all transcribed files in one place.
Generate and manage API keys for seamless integration.
⚜️ Phase 2: Hi-Fi Wireframes
Dashboard
Record audio and see live transcription instantly.
Upload files to transcribe
Transcription of the uploaded files along with summary and sentiment analysis
View and manage all transcribed files in one place.
Generate and manage API keys for seamless integration.
🔍 Phase 3: User Testing & Insights
(Post-MVP Testing Phase)
📌 Testing Methods: Usability Testing, Analytics Tracking and User Interviews.
After the first release, within the next 5 weeks, we conducted research to understand how users were interacting with VoiceAI.
🔍 How We Collected Insights
💡 What We Discovered
🎬 See These Features in Action
#1 Text-to-Speech (TTS)
🔍 Why We Built This Feature
Users wanted more than just transcription—they needed a way to convert text into speech for accessibility, convenience, and enhanced engagement. Our goal was to make VoiceAI a comprehensive speech solution, allowing users to seamlessly listen to written content in natural-sounding voices.
✨ What We Delivered
✅ Multi-Format Compatibility
Users can upload text in various formats—including DOCX, PDF, and plain text—ensuring flexibility across different workflows.
✅ Customizable Voice Options
Users can choose from multiple voices, adjusting pitch, and speed to personalize their listening experience.
✅ Seamless Integration
TTS is fully integrated into the VoiceAI ecosystem, allowing users to:
Listen to their transcriptions, documents, and notes without switching tools.
Command VoiceAI to read aloud directly from connected devices.
Text to speech - live in action
#2 Ask me Anything
🔍 Why We Built This Feature
With the rise of conversational AI, users expect quick, intuitive ways to retrieve information—not just raw transcriptions. Instead of manually searching through audio transcripts, users needed a smarter way to extract key insights instantly. So, we introduced "Ask Me Anything" (AMA), an AI-powered feature that lets users ask questions directly from their transcribed audio, just like chatting with a smart assistant.
✨ What We Delivered
✅ Conversational AI for Transcriptions
Simply type a question—like you would to a friend—and get instant, context-aware answers without scrolling through long transcripts.
✅ Smart, Targeted Insights
Instead of manually searching for keywords, AMA extracts relevant responses and highlights the most useful sections from your audio.
✅ Seamless Workflow Integration
This feature works within VoiceAI’s existing transcription tool, ensuring a smooth experience without switching platforms.
Ask me anything demo
#3 Upload Status
🔍 Why We Built This Feature
Before this update, users had to navigate to the Jobs page to check the status of their uploaded files. This extra step disrupted the workflow and made the process feel disconnected. Inspired by Google Drive’s upload progress indicator, we built a real-time progress tracker directly within the File Transcription page, ensuring users could monitor progress without leaving the screen.
✨ What We Delivered
✅ Live Progress Indicator
Users can now see the upload progress in real time, eliminating guesswork and reducing unnecessary clicks.
✅ Inline Status Updates
Instead of navigating away, users get on-screen progress updates, keeping them informed at every stage.
✅ Improved Workflow Efficiency
By reducing context-switching, users can focus on their tasks while VoiceAI handles the transcription in the background.
Live upload progress indicator
🎨 The Final Product
After multiple iterations, user testing, and feature enhancements, we refined VoiceAI into an intuitive, comprehensive speech platform that balances accessibility and technical depth.
Log in
Dashboard
Record audio and see live transcription instantly.
Upload audio files for accurate transcription and apply various configurations
Transcription of the uploaded files along with AMA, Summary and Sentiment Analysis
Convert your text into speech
Usage and analytics
Generate and manage API keys for seamless integration.
Billing and pricing plans
📢 Bringing VoiceAI to the World
The Marketing Campaign
Strategic Goal: To drive awareness and adoption of VoiceAI’s new features, we collaborated with the marketing team to create a campaign that effectively communicated our product’s impact.
Key Focus Areas: The campaign focused on highlighting Text-to-Speech (TTS), Ask Me Anything (AI-powered search), and Dialectal Speech Recognition to reach a global audience.
🚀 Key Learnings & Takeaways
Early usability testing and analytics helped uncover gaps we hadn’t anticipated, leading to the introduction of TTS, AMA, and real-time progress tracking. Prioritizing real user needs over assumptions made all the difference.
Working closely with engineering and product teams made implementation smoother. Aligning early on helped us optimize backend processes, cutting transcription speed by 45% while keeping the experience seamless.
The MVP was just the first step. Post-launch testing and continuous refinements played a key role in boosting user adoption by 30%, reinforcing that iteration is everything.
UX doesn’t stop at design. Collaborating with marketing team to create feature launch campaigns ensured our work was effectively communicated, driving engagement and adoption.