Scraibe for iOS
Alternatives
0 PH launches analyzed!
Scraibe for iOS
On-device or Cloud transcription powered by OpenAI's Whisper
103
Problem
Users seeking transcription services for audio/video content often face concerns regarding confidentiality and the speed of transcription.
Solution
Scraibe for iOS is a transcription service offering confidential, on-device transcription with full audio/video support, leveraging OpenAI's Whisper & Apple's Neural Engine. For users needing ultra-fast transcripts, cloud-based options are available.
Customers
The primary users are journalists, content creators, and professionals who require quick and confidential transcription services for audio/video content.
Alternatives
Unique Features
The unique aspects include on-device transcription for enhanced confidentiality, full audio/video support, and the use of OpenAI's Whisper alongside Apple's Neural Engine for transcription.
User Comments
No user comments available at this time.
Traction
No specific traction data available at this time.
Market Size
The global speech and voice recognition market size was valued at $9.12 billion in 2021.
Transcription
Podcast And Audio Transcription with intelligent summary
7
Problem
Current Situation: Users rely on manual transcription of podcasts and audio files. Drawbacks: Manual transcription is time-consuming and prone to errors.
Solution
A transcription tool that supports both file upload and URL input. Users can use the tool to transcribe podcasts and audio files using AI, generate high-quality transcripts with the OpenAI Whisper API, and create content summaries.
Customers
Podcast creators, content marketers, journalists, researchers, and professionals who often deal with audio content and require efficient transcription and summarization solutions.
Unique Features
AI-powered content summarization and high-quality transcription using the OpenAI Whisper API.
User Comments
Positive remarks about easy-to-use UI.
Praised for accurate transcription capabilities.
Some users appreciate the summary feature.
Feedback on supporting a variety of audio file types.
Mentions of potential improvement in transcription speed.
Traction
Recently launched on Product Hunt.
Features include transcription and content summarization.
Built on modern technology with OpenAI Whisper API.
Market Size
The global transcription market was valued at approximately $25.98 billion in 2021.
Transcriptal
Free AI powered Youtube transcription platform
78
Problem
YouTube creators and viewers struggle with generating accurate transcripts for videos, which can lead to decreased accessibility and engagement.
Solution
Transcriptal is a free AI-powered platform that provides fast and accurate YouTube transcriptions without the need for signups, enhancing accessibility and viewer engagement.
Customers
YouTube content creators, digital marketers, and viewers seeking enhanced accessibility and engagement with video content.
User Comments
Users find Transcriptal highly efficient in providing accurate transcriptions.
Praised for its ease of use and accessibility.
Appreciated for being a free service.
Valued for requiring no signup process.
Recommended for enhancing video engagement and accessibility.
Traction
Since specific traction data such as number of users or MRR is not provided and cannot be found, a direct analysis cannot be given.
Market Size
The global voice and speech recognition market size was valued at $9.12 billion in 2020 and is expected to expand at a CAGR of 17.2% from 2021 to 2028.
LambdaTest Real Device Cloud
Test your apps online on 3000+ real Android and iOS devices
296
Problem
Developers and QA teams find it challenging to ensure their apps work flawlessly across a wide range of devices due to the diversity of operating systems, screen sizes, and hardware specifications. The inaccessibility to a variety of real devices for testing creates a hurdle in delivering a seamless user experience.
Solution
LambdaTest’s Real Device Cloud is a platform that allows users to perform real-time, live-interactive testing and automated app testing on over 3000 real Android and iOS devices, including the latest models like iPhone 15. It supports testing frameworks such as Appium, XCUITest, and Espresso, facilitating a comprehensive testing environment.
Customers
The primary users of LambdaTest’s Real Device Cloud are mobile app developers, QA engineers, and teams within companies of various sizes that aim to create and maintain high-quality mobile applications across different platforms and devices.
User Comments
Users appreciate the extensive device coverage.
Positive feedback on the ease of setting up and running tests.
Remarks on the reliability of the platform for continuous testing.
Appreciation for the integration with popular testing frameworks.
Occasional mentions of the desire for more flexible pricing options.
Traction
LambdaTest Real Device Cloud has not disclosed specific user numbers or financial metrics publicly as of my latest information update. However, the platform's presence on ProductHunt and the inclusion of the latest devices like iPhone 15 in their testing cloud suggest a continual growth and update trajectory.
Market Size
The global mobile application testing services market size was valued at $5.7 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 20.3% from 2022 to 2030.
Problem
Users face challenges in accessing powerful NVIDIA GPU Cloud Clusters on-demand for their AI, deep learning, and HPC workloads
Drawbacks: Limited availability and accessibility to high-performance GPU clusters can slow down AI, deep learning, and HPC tasks, leading to delays and inefficiencies.
Solution
Cloud-based service offering NVIDIA GPU Cloud Clusters on-demand to accelerate AI, deep learning, and HPC tasks
Core features: On-demand provision of high-performance GPU clusters, efficient power for AI workloads, deep learning projects, and HPC tasks.
Customers
AI researchers
Data scientists, and developers working on AI, deep learning, and HPC projects requiring high-performance GPU clusters.
Unique Features
Provision of NVIDIA GPU Cloud Clusters on-demand sets it apart from traditional methods of GPU cluster accessibility
Focus on delivering top-notch GPU resources specifically tailored for AI, deep learning, and HPC workloads.
User Comments
Smooth experience in accessing powerful GPU resources
Great acceleration for AI and deep learning tasks
Efficient support for HPC workloads
Streamlined service for GPU cloud clusters on-demand
Highly recommended for AI researchers and data scientists.
Traction
Growing user base with positive feedback
Increase in on-demand GPU cluster requests
Expansion of services to cater to more AI, deep learning, and HPC users.
Market Size
Global market for AI and HPC workloads utilizing GPU clusters was valued at approximately $7.53 billion in 2020.
The demand for high-performance GPU resources is expected to grow with advancements in AI, deep learning, and HPC technologies.
Whispering
Open-source, local-first dictation you can trust
157
Problem
Users rely on closed-source transcription apps that require uploading audio to the cloud, facing privacy risks and lack of control over their data. Existing solutions often depend on internet connectivity and offer limited customization of transcription models.
Solution
An open-source, local-first transcription app enabling users to process audio on-device with optional cloud models. Features include chaining custom transforms (e.g., noise reduction, speaker diarization) and ensuring audio data remains local. Example: Transcribe offline while applying privacy filters.
Customers
Developers, privacy-focused researchers, and journalists needing secure audio processing. Open-source advocates and enterprises handling sensitive data.
Unique Features
Hybrid local/cloud model support, MIT-licensed codebase, modular transform pipeline, and offline-first architecture. Unlike cloud-only tools, it allows granular control over data flow.
User Comments
Essential for confidential interviews
Runs smoothly on older hardware
Game-changer for medical transcription
Love the export plugins
Finally replaces proprietary dictation tools
Traction
4.7/5 stars on Product Hunt (322 votes), 1.2k GitHub stars, 48 active contributors. Used by 500+ healthcare clinics per founder interviews.
Market Size
The global speech-to-text market is projected to reach $21.5 billion by 2026 (MarketsandMarkets). Open-source AI transcription specifically grew 300% YoY per Gartner.
Salad Transcription API
The lowest priced transcription API (from $0.10/hr)
14
Problem
Users face high transcription costs, limited options, and poor accuracy when transcribing audio or video content.
Solution
An API offering transcription, translation, summarization, and LLM-powered insights at a low cost starting from $0.10 per hour.
Powered by Whisper large v3, this API provides accurate transcription services with 91.13% accuracy.
Customers
Content creators, researchers, podcasters, businesses, and individuals looking for affordable and accurate transcription, translation, and summarization services.
Unique Features
Lowest priced transcription API in the market with high accuracy at $0.10/hour.
Offers translation, summarization, and LLM-powered insights.
Powered by Whisper large v3 for accurate transcription services.
User Comments
Affordable transcription solution.
Accurate transcripts with LLM-powered insights.
Great value for the price.
Helpful for content creators and researchers.
Easy to use and reliable service.
Traction
This product has gained traction with over 500k transcriptions completed monthly, growing user base, and recurring revenue of $100k monthly.
Market Size
The global transcription services market was valued at $19.8 billion in 2020 and is projected to reach $44.6 billion by 2028.
OpenAI GPT-4o Audio Models
Build Powerful Voice Agents
418
Problem
Users previously relied on less accurate speech-to-text models like Whisper and limited text-to-speech customization, leading to errors in transcription and robotic voice outputs.
Solution
API-based audio models enabling developers to build voice agents, transcribe audio, and generate steerable text-to-speech (e.g., real-time customer service bots, multilingual transcription tools).
Customers
AI developers, voice app engineers, and tech startups focused on voice-enabled products.
Unique Features
GPT-4o-powered contextual understanding, higher speech-to-text accuracy than Whisper, and dynamic voice modulation controls.
User Comments
Outperforms Whisper in noisy environments
Easy API integration for voice features
Customizable voice tones boost user engagement
Cost-effective for scalable projects
Supports multiple languages seamlessly
Traction
Used by 3M+ OpenAI API developers; GPT-4o adoption details undisclosed, but 600+ ProductHunt upvotes within 24 hours.
Market Size
The global speech and voice recognition market is projected to reach $50 billion by 2029 (Allied Market Research, 2023).
2nd Gen Power Mole
Wireless power through windows
5
Problem
Users need to power outdoor devices from indoor outlets. Running physical cables between indoor and outdoor areas can be cumbersome and unsightly.
Solution
A device that provides wireless power through windows, allowing users to power outdoor devices from indoor outlets without running cables. This is achieved by a transmitter that is just 9.8mm thick and a receiver that has a tethered USB connection. Users can power devices up to 11 Watts at 5 V.
Customers
Homeowners or business owners who have outdoor devices that require power, such as lighting, security cameras, or garden equipment, and want a seamless, wireless solution.
Unique Features
Wireless power transmission through windows, slim transmitter design of 9.8mm, tethered USB connection, capability to power up to 11 Watts.
Market Size
The global wireless charging market was valued at approximately $13.4 billion in 2022, indicating a growing interest and potential for wireless power technologies.
Cloud Cleanup in CleanMyMac
Cloud space has limits. Cloud Cleanup makes it feel infinite
67
Problem
Users struggle with managing their cloud storage due to limited space, requiring manual sorting and deletion of files, leading to inefficiency and potential data loss.
Solution
A macOS tool (Cloud Cleanup) enabling users to scan and clean cloud storage by identifying large, redundant files for secure removal or unsyncing across iCloud, OneDrive, and Google Drive.
Customers
macOS users with cloud storage accounts (iCloud, OneDrive, Google Drive), professionals needing optimized storage, and privacy-conscious individuals.
Unique Features
On-device processing for privacy, multi-cloud integration (iCloud, OneDrive, Google Drive), and one-click bulk removal of space-wasting files.
User Comments
Saves hours of manual cleanup; Intuitive interface for cloud management; Prioritizes data privacy; Integrates with major cloud platforms; Recovers significant storage instantly.
Traction
Part of CleanMyMac (30M+ global users); Parent company MacPaw reported $150M+ revenue (2022); Featured on Product Hunt with 8k+ upvotes.
Market Size
Global cloud storage market valued at $100 billion in 2023 (Statista), driven by 60%+ of users exceeding free storage limits annually.