Deepgram
Deepgram offers advanced speech recognition services powered by deep learning for accurate transcription.
No sample available
Cartesia AI
Real-time multimodal intelligence for every device. Cartesia.ai provides real-time multimodal AI solutions for various devices, focusing on privacy and speed.
No sample available
About Deepgram
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/ |
|---|---|
| Founded in: | 2015 |
| Founder: | Scott Stephenson |
| CEO: | Scott Stephenson |
| Address: | 548 Market St. Suite 25104, San Francisco, California, USA |
| Live Chat: | No |
About Cartesia AI
Cartesia.ai provides real-time multimodal AI solutions for various devices, focusing on privacy and speed. Their core products include Sonic, a fast and ultra-realistic generative voice API, and On-Device AI models, which perform offline, private inference. They emphasize delivering high-performance AI directly to user devices, enhancing user experiences with low latency and privacy-focused features.
| Website: | https://www.cartesia.ai/ |
|---|---|
| Founded in: | 2023 |
| Founder: | Karan Goel, Albert Gu |
| CEO: | Karan Goel |
| Address: | San Francisco, California, USA |
| Email: | [email protected] |
| Live Chat: | No |
Deepgram is a better alternative to Cartesia AI
We've compared price, features, voice samples, and more, and Deepgram is a better alternative to Cartesia AI
Compare Deepgram Product Suite vs Cartesia AI
If you are looking to invest in either Deepgram or Cartesia AI and are planning to scale, then it’s important to know who provides a comprehensive product suite.
- Speech to Text
- Text to Speech
- Audio Intelligence
- Text to Speech API
- Sonic
- On-Device
Generate AI Voices, Indistinguishable from Humans
Customer Support
Social Media
Narrative
Characters
Clone a Voice
Deepgram vs Cartesia AI Pricing
Compare Deepgram vs Cartesia AI 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 | |
| Free | ||
| Pro | 5 | |
| Startup | 49 | |
| Scale | 299 | |
| Enterprise | Contact Support |
Deepgram vs Cartesia AI Features Comparison
A side-by-side comparison of Deepgram vs Cartesia AI features
Deepgram Features |
Cartesia AI Features |
|---|---|
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. |
Consistent memory managementOperate large models on compact devices without overwhelming memory resources. |
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. |
High-performance throughputSupport multiple applications with a single model by utilizing our optimized inference stack. |
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. |
Minimal latencyStream data instantly with our cutting-edge low latency state space model inference system. |
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. |
Extended context handlingEffortlessly tap into long-term information, enabling the development of intricate applications. |
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. |
Energy EfficientDesigned for energy-efficient, on-device operation. |
Stateful capabilitiesMaintain memory across different interactions and devices seamlessly. |
Deepgram vs Cartesia AI Use Cases
Most apps in this space have similar use cases but you can compare Deepgram vs Cartesia AI use cases if you were looking for something unique.
Deepgram Use Cases |
Cartesia AI Use Cases |
|---|---|
Speech AnalyticsDeepgram's speech analytics tools help businesses understand customer sentiments and trends by converting speech into actionable insights. |
Smart devicesRun AI on small devices like phones and wearables for tasks like object detection or voice recognition, without needing cloud support. |
Media TranscriptionIt quickly converts spoken content from media like podcasts and interviews into accurate, searchable text, making it easier to access and analyze. |
Autonomous systemsPower real-time decision-making for drones, robots, or self-driving cars with fast data processing. |
Conversational AIThis technology empowers AI applications to interact naturally with users, improving customer service and engagement through voice recognition. |
Healthcare wearablesMonitor patient health continuously and analyze long-term trends to help predict medical issues. |
Contact CentersDeepgram enhances customer support by transcribing and analyzing calls in real time, helping agents provide better, more personalized responses. |
Customer service botsBuild smarter chatbots that remember past conversations, improving customer interactions. |
Medical TranscriptionIt provides fast and accurate transcription of medical dictations, aiding healthcare professionals by streamlining documentation and record-keeping. |
Industrial IoTPredict when machines need maintenance by analyzing sensor data, reducing downtime. |
Deepgram vs Cartesia AI Clients
See which companies trust Deepgram & Cartesia AI for all their generative AI needs.
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Deepgram vs Cartesia AI Reviews
See how Deepgram vs Cartesia AI stack up by what users think of them.
Fast, Accurate Transcription well suited to Medical Transcription
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.
Hackathon Winner
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.
Best transcribing and audio APIs I've ever used
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.
Deepgram is easy and inexpensive, but transcription quality is far below a human-edited transcript
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.
Very easy to start using and good results. Hard to find actual cost for using in bulk speech to text
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
Easy to use STT APIs
The response time of speech to text is a little high. Hindi support would be helpful too.
Cartesia AI not reviewed yet.
