Fe/male Switch: Your Startup Facilitator & Incubator for Women

Top 10 Open Source Alternatives to Fireflies.ai in 2025

Top 10 Open Source Alternatives to Fireflies.ai in 2025

As the demand for advanced voice recognition and transcription services continues to grow, open-source alternatives to Fireflies.ai have emerged as powerful contenders. Here are the top 10 open-source alternatives to Fireflies.ai in 2025:
Boost Your SEO by Getting Featured in Our Blogs and get a backlink.

We publish content about startups, education, tech, funding, etc. that ranks well not only in Google but also in Perplexity, ChatGPT, Grok and other AI tools.

👉 Get featured now!

1. DeepSpeech

  • Description: An open-source speech-to-text engine by Mozilla, based on Baidu's DeepSpeech algorithm. It's designed to be embedded and run in real-time.
  • Real-time processing: Operates in real-time on various devices from high-powered GPUs to Raspberry Pi 4.
  • Accuracy: Has a relatively low per-word error rate of around 6.5%
  • Language Support: Supports multiple languages and can be retrained to suit specific needs.
  • Platform: Can be used across various platforms due to its flexibility.
  • Customization: Can be retrained to suit different needs. Explore DeepSpeech on GitHub

2. Kaldi

  • Description: A speech recognition software package highly regarded by researchers. Known for its accuracy and capabilities for model training.
  • Accuracy: Known for good initial accuracy.
  • Model Training: Facilitates model training for specific use-cases.
  • Production Ready: Used by numerous companies in their production environments.
  • Flexibility: A comprehensive toolkit that provides flexibility for various speech recognition tasks.
  • Community: Well-regarded in the research community. Learn more about Kaldi
Get your FREE Landing Page Analysis!

Insert your landing page link and get a super useful analysis and easy fixes to get more clicks!

👉 Get Your Analysis Here!

3. Whisper

  • Description: An open-source speech recognition system from OpenAI, trained on a large dataset of diverse audio. Offers both transcription and translation services.
  • Accuracy: Known for its high accuracy in ASR.
  • Training Data: Trained on a dataset of 680,000 hours of audio.
  • Multilingual Support: Transcribes speech in multiple languages and translates speech from several languages into English.
  • Model Sizes: Offers various models (tiny, base, small, medium, and large) with different capabilities and speeds.
  • Technology: Uses a model that breaks down audio into 30-second chunks and converts into Log-Mel spectrograms. Explore Whisper on GitHub

4. SpeechBrain

  • Description: A PyTorch-based speech toolkit that provides open-source implementations of various research projects.
  • Framework: Built on PyTorch.
  • Research Focus: Provides implementations of popular research projects.
  • Integration: Integrates tightly with PyTorch.
  • Versatility: Suitable for various speech processing tasks.
  • Community: Actively maintained open-source project. Learn more about SpeechBrain

5. ESPnet

  • Description: An end-to-end speech processing toolkit, offering capabilities from ASR to translation, speech synthesis, enhancement, and diarization.
  • End-to-end: Provides comprehensive end-to-end speech processing.
  • Tasks: Covers ASR, translation, speech synthesis, enhancement, and diarization.
  • Framework: Uses PyTorch as its deep learning framework.
  • Data Processing: Uses Kaldi style data processing.
  • Multilingual: Supports multiple languages. Explore ESPnet on GitHub
Validate your startup idea with the unique borrowed authority approach: we publish articles about your product in our blog and you get traffic and testers for your MVP

  • Prove Market Demand: See real organic traffic and waitlist conversions

  • Unlock High-Potential Keywords: Receive a curated list of top-performing keywords directly from Google Search Console data.

  • Estimate Customer Acquisition Cost (CAC): Gain financial foresight with an estimated CAC based on real keyword performance data.

🔗 Start validating your startup now

6. Wav2Letter

  • Description: An Automatic Speech Recognition (ASR) Toolkit developed by Facebook AI Research, written in C++ using the ArrayFire tensor library.
  • Language: Written in C++.
  • Precision: Moderately precise.
  • Tensor Library: Employs the ArrayFire tensor library.
  • User Friendly: Suitable for minor projects.
  • Developer: Developed by Facebook AI Research. Explore Wav2Letter on GitHub

7. Athena

  • Description: End-to-end speech recognition engine written in Python.
  • Language: Written in Python.
  • End-to-End: Implements an end-to-end speech recognition.
  • Customization: Allows for users to implement and experiment with their own components.
  • Scalability: Designed to be scalable and modular. Explore Athena on GitHub

8. Mycroft

  • Description: A set of software and hardware tools that use natural language processing and machine learning to create an open-source voice assistant.
  • Functionality: Offers an open-source voice assistant.
  • Customization: Highly customizable and extensible for different use cases.
  • Platform: Runs on a desktop computer, in a car, or on a Raspberry Pi.
  • Privacy: Focuses on a private and open voice solution for consumers and enterprises.
  • Application: Can be used in anything from a science project to an enterprise software application. Learn more about Mycroft

9. Pocketsphinx

  • Description: A lightweight speech recognition engine written in C, designed for handheld and mobile devices.
  • Language: Written in C.
  • Resource Efficiency: Designed to be lightweight for use on mobile devices.
  • Component: Part of the CMU Sphinx family of tools.
  • Speech Recognition: Capable of performing speech recognition in real-time. Learn more about PocketSphinx

10. OpenSeq2Seq

  • Description: Developed by NVIDIA for training sequence-to-sequence models, with versatile applications beyond speech recognition.
  • Developer: Developed by NVIDIA.
  • Model Training: Designed for training sequence-to-sequence models.
  • Versatile: Used for more than speech recognition.
  • Framework: Built for Tensorflow and PyTorch. Explore OpenSeq2Seq on GitHub
Disclaimer: I've done my best to provide accurate information, but the open-source landscape is always changing. Please verify details on each project's website before making decisions.
Join ElonaHunt (like ProductHunt but for women) and explore the coolest women-focused startups out there!

Discover your next big inspiration and connect with like-minded female entrepreneurs!

👉 Join the Hunt Here

FAQ

1. What is DeepSpeech and what features does it offer?
DeepSpeech is an open-source speech-to-text engine by Mozilla, based on Baidu's DeepSpeech algorithm. It provides real-time processing, supports multiple languages, and can be retrained for specific needs. It operates on various devices, from high-powered GPUs to Raspberry Pi 4. Learn more about DeepSpeech
2. How is Kaldi different from other speech recognition tools?
Kaldi is a highly-regarded speech recognition software package known for its initial accuracy, model training capabilities, and flexibility for various speech recognition tasks. It is well-regarded in the research community. Discover Kaldi
3. What makes Whisper by OpenAI a notable option?
Whisper is an open-source speech recognition system from OpenAI, known for its high accuracy and multilingual support. It offers transcription and translation services and has been trained on a dataset of 680,000 hours of audio. Explore Whisper
4. What is SpeechBrain and its main focus?
SpeechBrain is a PyTorch-based speech toolkit providing open-source implementations of various speech processing research projects. It integrates tightly with PyTorch and is suitable for varied speech processing tasks. Learn more about SpeechBrain
5. Can you explain the capabilities of ESPnet?
ESPnet is an end-to-end speech processing toolkit covering tasks such as ASR, translation, speech synthesis, enhancement, and diarization. It uses PyTorch as its framework and Kaldi style data processing. Discover ESPnet
6. What is Wav2Letter and its key features?
Wav2Letter is an Automatic Speech Recognition toolkit developed by Facebook AI Research. It is written in C++ and employs the ArrayFire tensor library. It is suitable for projects requiring moderate precision. Learn more about Wav2Letter
7. What makes Athena an end-to-end solution?
Athena is an end-to-end speech recognition engine written in Python. It allows users to implement and experiment with their components and is designed to be scalable and modular. Discover Athena
8. How does Mycroft stand out as a voice assistant?
Mycroft offers an open-source voice assistant that can be highly customized and extended. It runs on a variety of platforms and is designed to maintain user privacy while providing a flexible solution for consumers and enterprises. Learn more about Mycroft
9. What is unique about Pocketsphinx's design?
Pocketsphinx is a lightweight speech recognition engine written in C, designed for handheld and mobile devices. It is part of the CMU Sphinx family of tools, capable of performing speech recognition in real-time. Discover Pocketsphinx
10. Describe OpenSeq2Seq and its application.
OpenSeq2Seq, developed by NVIDIA, is designed for training sequence-to-sequence models. It is versatile and extends beyond speech recognition, built for TensorFlow and PyTorch. Learn more about OpenSeq2Seq

References

About the Author

Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.
Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).
She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the "gamepreneurship" methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond and launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks.
For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the POV of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.

About the Publication

Fe/male Switch is an innovative startup platform designed to empower women entrepreneurs through an immersive, game-like experience. Founded in 2020 during the pandemic "without any funding and without any code," this non-profit initiative has evolved into a comprehensive educational tool for aspiring female entrepreneurs.The platform was co-founded by Violetta Shishkina-Bonenkamp, who serves as CEO and one of the lead authors of the Startup News branch.

Mission and Purpose

Fe/male Switch Foundation was created to address the gender gap in the tech and entrepreneurship space. The platform aims to skill-up future female tech leaders and empower them to create resilient and innovative tech startups through what they call "gamepreneurship". By putting players in a virtual startup village where they must survive and thrive, the startup game allows women to test their entrepreneurial abilities without financial risk.

Key Features

The platform offers a unique blend of news, resources,learning, networking, and practical application within a supportive, female-focused environment:
  • Skill Lab: Micro-modules covering essential startup skills
  • Virtual Startup Building: Create or join startups and tackle real-world challenges
  • AI Co-founder (PlayPal): Guides users through the startup process
  • SANDBOX: A testing environment for idea validation before launch
  • Wellness Integration: Virtual activities to balance work and self-care
  • Marketplace: Buy or sell expert sessions and tutorials

Impact and Growth

Since its inception, Fe/male Switch has shown impressive growth:
  • 3,000+ female entrepreneurs in the community
  • 100+ startup tools built
  • 5,000+ pieces of articles and news written

Partnerships

Fe/male Switch has formed strategic partnerships to enhance its offerings. In January 2022, it teamed up with global website builder Tilda to provide free access to website building tools and mentorship services for Fe/male Switch participants.

Recognition

Fe/male Switch has received media attention for its innovative approach to closing the gender gap in tech entrepreneurship. The platform has been featured in various publications highlighting its unique "play to learn and earn" model.
2025-08-13 06:51 Top Alternatives