Deepgram is a cutting-edge voice recognition platform that uses artificial intelligence to instantly transcribe, search, and analyze spoken language. It allows you to turn audio into accurate, searchable text, making it easier to access and analyze information spoken in various settings.
Users of Deepgram can transcribe meetings, create live subtitles for broadcasts, and improve voice interaction systems for customer service. Its ability to support multiple languages and dialects enables global reach, while its adaptive AI voice recognition models are designed to cater to specific content, from casual conversations to technical discussions.
Key features of Deepgram include a broad selection of voice models and extensive language support. Its TTS API helps developers integrate these capabilities into existing applications, automating tasks like transcription and enabling real-time voice analysis. This integration is essential for apps that require live customer interaction or content management.
Deepgram’s platform also excels in scalability, handling everything from small projects to large-scale enterprise needs with ease. The technology is built to process and analyze large volumes of audio data efficiently, providing real-time insights that are crucial for decision-making and user engagement.
Overall, Deepgram offers a practical and versatile tool for converting speech to text, enhancing user engagement, and extracting insights from voice data, helping businesses and developers streamline processes and improve accessibility.
Website: | https://deepgram.com/ |
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Founded in: | 2015 |
Founder: | Scott Stephenson |
CEO: | Scott Stephenson |
Address: | 548 Market St. Suite 25104, San Francisco, California, USA |
Live Chat: | No |
SpeechGen revolutionizes text to voice conversion with its advanced AI technology, crafting lifelike human voices from written text. You can effortlessly transform text into natural-sounding speech and conveniently download the audio in MP3, WAV, or OGG formats.
The platform boasts an extensive library of 270+ AI voices across 76+ languages, ensuring versatility and accessibility for users worldwide. Additionally, SpeechGen offers robust customization options, allowing you to tailor voice pitch, speed, pronunciation, and more to suit their preferences.
With SSML support, you can fine-tune speaking styles, while a commercial license enables unrestricted usage of generated audio. The multi-voice editor facilitates dialogue creation, while cloud storage preserves audio history for easy access.
Its user-friendly interface caters to both novices and experts, seamlessly integrating with any major editing software. Plus, with pricing starting at just $0.08 per 1000 characters, SpeechGen offers affordability without compromising quality.
You also have granular control over voice characteristics, including pitch, speed, volume, and pronunciation. You can insert pauses, spell words, emphasize text, and emulate various speaking styles like news anchors, assistants, or actors.
Moreover, SpeechGen prioritizes user privacy and data security, implementing state-of-the-art encryption protocols to safeguard sensitive information. Its responsive customer support ensures prompt assistance and resolves any queries promptly, enhancing the overall user experience.
Website: | https://speechgen.io/ |
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Founded in: | 2022 |
Founder: | Alex Speechgen |
CEO: | Alex Speechgen |
Address: | Units A-C, 25/F., Seabright Plaza, No. 9-23 Shell Street, North Point, Hong Kong |
Email: | [email protected] |
We've compared price, features, voice samples, and more, and Deepgram is a better alternative to Speechgen
If you are looking to invest in either Deepgram or Speechgen and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare Deepgram vs Speechgen subscription plans and pricing. Please check each website for the most updated information.
Monthly Price | Yearly Price | |
Pay As You Go | $200 Credit | |
Growth | - | $4k - $10k |
Enterprise | - | Contact Sales |
Monthly Price | Yearly Price | |
25k Limits Pack | $4.99 | |
65k Limits Pack | $9.99 | |
200k Limits Pack | $24.99 | |
500k Limits Pack | $49.99 |
A side-by-side comparison of Deepgram vs Speechgen features
Deepgram Features |
Speechgen Features |
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Custom ModelsDeepgram allows users to train custom speech recognition models tailored to their specific business needs and terminologies. This customization enhances the accuracy of transcriptions in specialized fields like medical, legal, or technical industries, where specific vocabulary and phrases are common. |
Natural-sounding voicesOver 270 natural-sounding voices available in more than 76 languages for versatile and global use. |
Real-time TranscriptionDeepgram provides real-time speech-to-text conversion, enabling immediate transcription of live audio streams. This feature is particularly valuable for applications such as live captioning, real-time communication aids, or immediate transcription needs during meetings and conferences. |
CustomizationCustomizable voice settings including pitch, speed, and pronunciation for tailored audio output. |
Multi-language SupportThe platform supports multiple languages, making it suitable for global companies and multilingual applications. This feature helps businesses cater to diverse linguistic groups without needing separate speech recognition solutions. |
SSML support to control speaking styleSupports Speech Synthesis Markup Language (SSML) to fine-tune speaking styles and nuances. |
Keyword Spotting and Intent RecognitionDeepgram's advanced features include keyword spotting and intent recognition, which allow users to identify and react to specific words or phrases during speech recognition. This is particularly useful for voice-controlled applications and analyzing customer interactions for insights. |
Commercial license to use audio freelyIncludes a commercial license allowing unrestricted use of audio outputs in various projects. |
Scalability and API IntegrationDeepgram is designed to be highly scalable, capable of handling large volumes of audio processing without compromising on speed or accuracy. Its robust API integration allows for easy implementation into existing systems and workflows, facilitating automation and efficiency improvements in various business processes. |
Multi-voice editor to create dialogsMulti-voice editor enables the creation of dynamic dialogs using different voices. |
Cloud storage for audio historyCloud storage feature to safely archive and retrieve audio history anytime. |
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Intuitive interface suitable for beginnersIntuitive interface designed for easy use, perfect for beginners. |
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Compatible with all major editing softwareFully compatible with all major editing software, ensuring seamless integration into workflows. |
Most apps in this space have similar use cases but you can compare Deepgram vs Speechgen use cases if you were looking for something unique.
Deepgram Use Cases |
Speechgen Use Cases |
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Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
Video Content CreationSpeechgen enhances videos on platforms like YouTube and Instagram by adding professional voiceovers. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
E-Learning MaterialsIt creates auditory learning content, which can be especially beneficial for language learning and instructional videos. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
AdvertisingSpeechgen.io generates voiceovers for ads, increasing their appeal and effectiveness. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
PodcastingConverts written content into podcast episodes, which can then be published on platforms like iTunes and Spotify. |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Public AnnouncementsUseful in public venues such as airports and bus stations to provide clear announcements. |
Academic SupportAssists in essay reading and comprehension, beneficial for proofreading and editing. |
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Business PresentationsSpeechgen improves engagement in business presentations with high-quality voiceovers. |
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Document AccessibilityIt makes reading documents and books more accessible through speech synthesis, especially for those with visual impairments. |
See which companies trust Deepgram & Speechgen for all their generative AI needs.
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See how Deepgram vs Speechgen stack up by what users think of them.
We've been thrilled with Deepgram at PatientNotes. We use it for transcribing medical conversations. We evaluated Whisper and other ASR tools and Deepgram won for it's speed and accuracy.
I was involved in a Hackathon where the goal was to provide realtime translation in a setting like a church service to participants who were not fluent in the language being spoken. We realized pretty quickly that the most critical piece of accomplishing this was to have accurate transcripts from the original audio stream - without that the project was doomed. After a bit of research, we decided to use Deepgram due to its ease of integration, the configurability, and the ability to work with multiple input languages. There also were quite a few helpful examples and tutorials to get us started quickly. We ended up accomplishing our goals with Deepgram and ended up winning the Hackathon with our project.
Deepgram knows who their customers are, developers or tech decision-makers in a company, so their site is made for them. It is so easy to understand everything, implement it quickly in any app and easy to find all information in the Documentation. I would use again and recommend it to others.
Very minor issues: Usage monitoring could be a little better. I've also found a few spots where the documentation was out-of-date or vague.
Couldnt easily find the price for the tool. If I saw quickly it could be cheaper than our current tool I would keep on trying. I would like models that can perform with music in the background
The response time of speech to text is a little high. Hindi support would be helpful too.
I've been using their text-to-speech generator for some weeks now, and I'll say that it is as good as you can expect a proper text-to-speech generator to be in this phase of the 21'th century. At some points, you can sence a little robottic vocals, but overall, the flow and pronouncements are great, greater than I can do myselfself for my educational youtube-videos, which I use it for. Note, that you'll only get a few free credits to generate when you enter - but the cost of new credits is quite low, so you won't have to throw a large sum of money to get 25.000 credits or so.