Deepgram offers advanced speech recognition services powered by deep learning for accurate transcription.
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A suite of mobile apps designed to support reading, writing, and learning with speech synthesis technology.
No sample available
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 |
Voice Dream is a versatile reading companion, offering an extensive selection of features and voices tailored to enhance your reading experience. With the inclusion of one premium Acapela voice and access to 36 built-in AI voices within iOS, you are provided with a diverse range of options for voice selection, each capable of being finely adjusted for clarity.
The app also offers the opportunity to expand voice options through in-app purchases, with nearly 100 additional voices available in 20 languages from reputable providers such as Ivona, Acapela, and NeoSpeech, priced between $1.99 and $4.99.
Supported languages include English, Mandarin Chinese, Japanese, Spanish, French, German, Italian, Swedish, Danish, Norwegian, Finnish, Dutch, Portuguese, Russian, Czech, Catalan, Polish, Turkish, Greek, and Arabic, ensuring accessibility for a global audience.
Voice Dream Reader grants you complete control over text to voice rendering, allowing for dynamic adjustments to speech rate and voice selection in real-time. Additionally, you can seamlessly manage playback functions, such as rewinding, playlist creation, and setting sleep timers, optimizing your experience for various reading scenarios.
The app prioritizes user convenience by implementing intuitive features, such as resuming reading from the beginning of a sentence during rewinding and offering customizable remote control functions for Bluetooth headsets.
Synchronized word and line highlighting further enhances comprehension, complemented by traditional visual reader tools like bookmarking, full-text search, and customizable font settings, resulting in a holistic reading experience that seamlessly integrates audio and visual elements.
Website: | https://www.voicedream.com/ |
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Founded in: | 2012 |
Founder: | Winston Chen |
CEO: | Winston Chen |
Address: | 70 Coolidge Road, Arlington, Massachusetts, USA |
Email: | [email protected] |
We've compared price, features, voice samples, and more, and Deepgram is a better alternative to Voice Dream
If you are looking to invest in either Deepgram or Voice Dream and are planning to scale, then it’s important to know who provides a comprehensive product suite.
Compare Deepgram vs Voice Dream 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 | |
Subscription | $59.99 | |
A side-by-side comparison of Deepgram vs Voice Dream features
Deepgram Features |
Voice Dream 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. |
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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. |
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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. |
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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. |
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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. |
Most apps in this space have similar use cases but you can compare Deepgram vs Voice Dream use cases if you were looking for something unique.
Deepgram Use Cases |
Voice Dream 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. |
Learning SupportVoice Dream Reader supports learning disabilities like dyslexia by synchronizing text and audio, improving comprehension and reading ease. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
Accessibility for Visually Impaired UsersVoice Dream Reader offers full VoiceOver support, customizable text settings, and audio options to improve accessibility for visually impaired users. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
MultitaskingThe app reads aloud documents and books, allowing users to listen and engage in other tasks simultaneously. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Language LearningWith support for multiple voices and languages, Voice Dream Reader assists in language learning by enabling users to listen to text in the language of their choice. |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Personalized Reading ExperienceVoice Dream Reader offers over 200 human-quality voices and allows customization of reading speed, which users can tailor to their personal listening preferences. |
See which companies trust Deepgram & Voice Dream for all their generative AI needs.
See how Deepgram vs Voice Dream 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.
Voice Dream not reviewed yet.