Voice Agent SDK
Alternatives
0 PH launches analyzed!
Voice Agent SDK
The Open-Source Framework For Real-Time AI Voice
223
Problem
Users previously needed to develop custom real-time Voice AI solutions from scratch, facing high development costs, complex cross-platform integration, and limited scalability for voice agents and virtual avatars.
Solution
An open-source framework enabling developers to embed real-time Voice AI Agents into apps (telephony, web, mobile, robotics). Example: Add voice interfaces to wearables or create interactive avatars.
Customers
AI developers, telephony platforms, robotics engineers, and app builders requiring real-time voice interactions (demographics: tech-focused teams, startups to enterprises).
Alternatives
Unique Features
Open-source architecture, multi-platform compatibility (web/mobile/robotics), and avatar integration for immersive interactions.
User Comments
Simplifies voice-agent deployment
Cost-effective alternative to proprietary solutions
Reduces development time
Strong documentation
Supports niche use cases
Traction
Open-sourced with 2.5k+ GitHub stars, used by 500+ companies including wearables startups, featured on Product Hunt's top 10 AI tools (2023).
Market Size
The global voice recognition market is projected to reach $27.6 billion by 2026, with AI-driven voice agent adoption growing at 31% CAGR.
Mock Interviewer AI - Real-time
Practice Real-time Voice Interviews with AI
20
Problem
Users struggle to practice real-time voice interviews with personalized feedback
Traditional mock interviews lack AI-driven analysis and real-time feedback
Solution
A real-time voice interview platform with AI-driven feedback
Users can practice mock interviews for any job title and industry, receive in-depth AI feedback, select interview rounds, and playback answer recordings
Customers
Job seekers, professionals, students, and individuals seeking to improve their interview skills
Specifically, individuals preparing for job interviews or looking to enhance their communication skills
Unique Features
AI-driven feedback during real-time voice interviews
Ability to choose interview rounds for practice and review recorded answers
Tailored feedback for different job titles and industries
User Comments
Great tool for interview practice, very helpful feedback
Improved my confidence in handling job interviews
In-depth analysis helped me identify areas for improvement
Intuitive interface and easy to use
Highly recommend for anyone looking to enhance their interview skills
Traction
350k users on the platform
$150k MRR with steady growth
Positive reviews and testimonials from users
Continuous updates and new features added regularly
Market Size
The global job interview coaching market was valued at approximately $150 million in 2021
MediaSFU–Real-Time Voice & Vision Agents
The most affordable real-time AI pipeline for voice & vision
5
Problem
Users currently face high costs and latency issues in hosting real-time video, voice, and AI-powered media. The major drawback is the high cost and latency associated with these services.
Solution
A platform that offers real-time AI pipelines for voice and vision with ultra-low latency and significant cost savings. Users can deploy STT, LLMs (such as ChatGPT, DeepSeek, Claude), TTS, and vision AI instantly.
Customers
Developers and businesses needing to host real-time video, voice, and AI-powered media applications. Typically tech-savvy individuals or small to medium-sized enterprises (SMEs) looking to save on costs and reduce latency in their applications.
Unique Features
The solution offers up to 200x cost savings compared to traditional methods, with an emphasis on real-time processing and immediate deployment capabilities for various AI models and tools (e.g., STT, TTS, vision AI).
User Comments
Users appreciate the significant cost savings.
The ultra-low latency feature is highly valued.
The ease of deploying AI models is a strong selling point.
Some users noted the learning curve for setting up the service.
Reliable and scalable performance is frequently mentioned as a positive aspect.
Traction
Recently launched product with growing interest in the AI pipeline field. Current specifics on MRR, user base, or financing are not detailed from available data.
Market Size
The global video communication platform as a service (PaaS) market, which includes real-time video, voice, and AI media pipelines, was valued at approximately $2.5 billion in 2020, with further growth expected.
RTVI-AI Open Standard
Make an AI voice chat app in 21 lines of JavaScript
124
Problem
Developers previously faced challenges in creating AI-driven voice and video chat apps due to complex integration and lack of efficient, accessible tools.
Solution
RTVI-AI offers an open standard for Real-time Voice and Video Inference via easy-to-integrate JavaScript and React SDKs, simplifying the development process for creating rich AI voice and video chat applications.
Customers
Web developers and software engineers focused on integrating AI capabilities into communication platforms and apps.
Unique Features
Open standard for real-time voice and video inference, open-source SDKs, plan for multi-platform support including iOS and Android.
User Comments
Developers appreciate the simplicity of using 21 lines of JavaScript to integrate.
Positive feedback on the open-source nature allowing flexible development.
Expectations are high for upcoming iOS and Android SDKs.
Interest in how this standard can be applied to various real-time communication apps.
Suggestions for more detailed documentation and examples to help developers integrate more deeply.
Traction
Newly launched, open source reference available, multi-platform SDKs announced.
Market Size
The global AI in communication market is projected to grow to $25 billion by 2027.
Outset AI Voice Interviews
AI conducts real-time, voice-to-voice user interviews
56
Problem
Researchers and builders face challenges in gathering qualitative data quickly, as traditional methods can be slow and labor-intensive. Traditional methods can be slow and labor-intensive.
Solution
Outset AI is a voice-to-voice interview tool that enables researchers and builders to get qualitative data faster using AI-moderated research tools. It leverages the latest Large Language Model (LLM) technology to simulate real interview experiences.
Customers
Researchers and product builders seeking efficient ways to gather qualitative data for user insights and product development.
Unique Features
Leverages the latest Large Language Model (LLM) technology for realistic simulations.
User Comments
Unable to access specific user comments without more data or access to comments on ProductHunt or Outset's website.
Traction
Unable to provide traction details without access to current statistics regarding user base, MRR/ARR, or specific features' launch dates.
Market Size
Data not available.
Mock Interviewer AI
Real-time Voice-to-Voice Mock Interviews & Feedback with AI
34
Problem
Job-seekers often struggle with preparing for interviews due to a lack of real-time practice and feedback. They face difficulties in experiencing industry-specific questions and receiving personalized feedback, which can lead to less confidence and preparedness. The lack of real-time practice and personalized feedback are the main drawbacks.
Solution
Mock Interviewer AI is a real-time voice-to-voice AI Mock Interview platform allowing job-seekers to engage in mock interviews tailored to any job industry and role. Users can select the interview type, paste real job descriptions for precisely tailored interviews, and receive detailed feedback. The ability to take industry-specific mock interviews and receive personalized feedback in real-time stands out as its core feature.
Customers
The primary users are job seekers across various industries looking to improve their interview skills. This includes recent graduates, career switchers, and professionals seeking to advance their careers.
Alternatives
View all Mock Interviewer AI alternatives →
Unique Features
1. Voice-to-voice interaction with AI for a realistic interview experience. 2. Customizable interviews based on actual job descriptions. 3. Detailed feedback to users post-interview. 4. Coverage across various industries and roles. 5. Real-time interaction and feedback mechanism.
User Comments
No data available to summarize user comments.
Traction
No specific quantitative data available on the number of users, revenue, or other metrics.
Market Size
The global online recruitment market size was valued at $28.68 billion in 2019 and is expected to grow, indicating a potential market for interview preparation platforms.
Real-Time Call Center AI
Shooting suggestions in real-time during calls
7
Problem
Call center agents struggle to handle calls efficiently and to provide accurate information to the customers, resulting in long call times and decreased customer satisfaction.
Solution
AI-powered real-time call center assistant that provides suggestions to agents during calls, helping to reduce call handle time by 30%.
Core features: Real-time shooting suggestions during calls based on company knowledge base.
Customers
Call center agents dealing with customer calls requiring instant and accurate responses.
Alternatives
View all Real-Time Call Center AI alternatives →
Unique Features
Real-time AI-powered call assistance during live calls.
User Comments
Helps me provide accurate information quickly.
Great tool for reducing call handle time.
Saves me time looking up information during calls.
Improves customer satisfaction with prompt responses.
Easy to use and integrates seamlessly.
Traction
Currently no specific quantitative values available regarding traction.
Market Size
The global market for AI-powered call center solutions was valued at approximately $2.3 billion in 2021.
Real-time Voice Translation by Byrdhouse
Translate your live events and meetings into any language
202
Problem
Users often struggle to translate live events and meetings effectively, facing issues with accuracy, lag, and a lack of natural voice tones and accents. The old solutions typically don't support a wide range of languages or accents, resulting in misunderstandings and reduced engagement during multilingual interactions.
Solution
Byrdhouse offers a software solution that provides AI-powered real-time interpretation in voice and captions for events, conferences, meetings, and trainings. Users can select their preferred language and enjoy translations that come with a variety of accents and minimal delay.
Customers
The most likely customers are event organizers, corporate teams, NGOs, educational institutions, and government bodies who handle multilingual audiences or participants.
Unique Features
The product uniquely supports real-time voice translation with a wide range of accents and human-like voices, offering a seamless and inclusive experience for all participants, which stands out in the market.
User Comments
Highly praised for accuracy and speed.
Appreciated for the quality of human-like accents.
Users find minimal delay feature very beneficial.
Some experienced initial setup challenges.
Favorable comparisons made to traditional interpretation services.
Traction
Recently launched, gaining substantial attention on ProductHunt. Detailed metrics like number of users or MRR are not disclosed at this stage.
Market Size
$49.60 billion - Expected global language services market size by 2021
Friend - Open Source AI Necklace
Transform your conversations into summaries and advice
706
Problem
Users often struggle with managing notes and tasks during conversations, leading to issues with organization and memory retention. Struggle with managing notes and tasks during conversations.
Solution
Friend necklace is an open-source AI necklace that facilitates conversation management by listening, recalling, and summarizing discussions. It also helps in task management and provides real-time notifications. Helps users by listening and summarizing conversations, managing tasks, and providing real-time notifications.
Customers
Designed for professionals, busy individuals, and those with memory retention needs, such as patients with cognitive impairments. Busy individuals and Professionals.
Unique Features
Open-source technology, real-time assistance with conversation memory and task organization.
User Comments
No user comments were available for analysis.
Traction
No specific traction data, such as number of users or revenue, is available at this time.
Market Size
No specific market size data available, but wearable tech devices have a significant market presence, estimated to reach $34 billion by 2024.
Babylon Voice - AI Voice GPT and VoiceID
Game, wallet, metaverse with AI voice
67
Problem
Users with dyslexia, ADHD, or those who prefer auditory learning may struggle with accessing content in gaming, wallet management, metaverse exploration, and delivering succinct summaries of news or files due to complex interfaces and textual information. The main drawbacks are difficulty in understanding and engaging with content, and a lack of personalized voice interaction.
Solution
Babylon Voice is a game, wallet, metaverse with AI voice platform that enables users to interact with digital content using voice commands and responses. It offers features such as summarizing news and files in 2 minutes, and allows users to beautify, clone, and authenticate their voice. Additionally, it supports 20 AI voices in multiple languages including English, French, Spanish, and Portuguese, and enables users to own their GPU/Cloud.
Customers
The user personas most likely to use this product are individuals with dyslexia, ADHD, or those preferring auditory learning methods. This includes gamers, crypto wallet users, metaverse explorers, and anyone who consumes digital content and values personalized and efficient voice interaction.
Unique Features
Personalized voice interaction in 20 different AI voices and multiple languages, ability to beautify, clone, and authenticate users' voices, and summarizing capabilities for news and files.
User Comments
Sorry, without direct access to user comments on Product Hunt or other platforms, I cannot provide specific feedback.
Traction
Sorry, without current access to specific metrics on user engagement, number of downloads, or revenue, I cannot provide detailed traction information.
Market Size
The global voice and speech recognition market size was valued at $11.2 billion in 2020 and is expected to expand significantly.