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Text Content
* Product Product AI Models Text to SpeechHuman-like text-to-speech for real-time AI agents. Speech to TextTranscribe speech with unmatched accuracy, speed, and cost. Audio IntelligencePowered by AI language models. Use Cases Contact Centers Medical Transcription Speech Analytics Media Transcription Conversational AI Partners & Integrations AnnouncementsView more Nova-2 Speech to Text Now Supports 36 Languages (and Counting)Published on 05/16/24 Introducing Deepgram Aura: Lightning Fast Text-to-Speech for Voice AI AgentsPublished on 03/12/24 * Pricing * Enterprise * Customers * Resources Resources Articles AI Glossary Case Studies Podcasts View all Resources AI Catalog Deepgram AI Apps Catalog: Find AI apps using AI Latest ResourcesView more The Top 10 arXiv Papers About AI AgentsPublished on 05/10/24 * Developers Developers Documentation Tutorials Status Changelog Self-Hosted Join the Community API Playground Try Free API PlaygroundTest your own audio files or quickly explore its capabilities with our pre-recordings. Log InGet a DemoSign Up Free Lightning-Fast Text to Speech for Voice AI Agents BUILD VOICE AI INTO YOUR APPS Deepgram's voice AI platform provides APIs for speech-to-text, text-to-speech, and language understanding. From medical transcription to autonomous agents, Deepgram is the go-to choice for developers of voice AI experiences. Try For FreeBook a Demo Trusted by the world’s top Enterprises, Conversational AI Leaders, and Startups TRY DEEPGRAM API Play around with human-like voice AI or transcribe sample audio files. Explore how our audio understanding models work. Text to Speech Speech to Text Audio Intelligence Try Your Text Try Your TextFood orderingHealthcare Generate Featured Voices AsteriaFemale English (US) Download audio file. LunaFemale English (US) Download audio file. ArcasMale English (US) Download audio file. ZeusMale English (US) Download audio file. Learn more Select an audio file Call Center Nike Support:Customer Service 00:00 02:09 Download audio file. Medical Pediatric:Healthcare Call 00:00 02:33 Download audio file. Show JSON Request URL POST https://api.deepgram.com/v1/listen Request Body { "metadata": { "transaction_key": "deprecated", "request_id": "34fced0b-21db-4b20-8808-7c09d8777826", "sha256": "088e88dd76213db9b770768fe7ddc6bacde93217bb6b8129e10a8cda7c45a8d3", "created": "2024-03-06T16:28:25.548Z", "duration": 129.576, "channels": 1, "models": [ "30089e05-99d1-4376-b32e-c263170674af" ], "model_info": { "30089e05-99d1-4376-b32e-c263170674af": { "name": "2-general-nova", "version": "2024-01-09.29447", "arch": "nova-2" } } }, "results": { "channels": [ { "alternatives": [ { "transcript": "Hi. Thank you so much for calling Nike. This is Allison. How can I help you today? Hey. I was supposed to receive a shoe order last Tuesday, and it's now Wednesday, a week later. So, like, what's going on? Oh, okay. I see. Could I have your order number, please? Yeah. It's 905933 679. Okay. Thank you so much for that. Okay. I apologize. It looks like your order there's been some inclement weather in, like, the Midwest, especially in the north, and your package got stuck at a facility in Wyoming because of that. But it looks like it's cleared since, and the package should be moved to New Jersey, and should be at your home address in 4 days, so it it should be arriving on Saturday. So it'll be arriving almost 2 weeks late instead of a week and a half late. Yeah. I I'm I'm really sorry about that. I can see here that, you know, you you're a long time customer with us, and, you know, you've placed a lot of orders. So if it's okay with you, on your next order that you placed through our website, because we messed up this time, I'd like to offer you a 40% discount on your next purchase with us. Yeah. I mean, that sounds good to me. Okay. That's good. Okay. Great. Okay. Your, yeah, your shoes should be there on Saturday, this coming Saturday. Is there anything else I can help you with at this time? No. Thank you. Okay. 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Thank you so much for calling Nike. This is Allison. How can I help you today? Hey.\n\nI was supposed to receive a shoe order last Tuesday, and it's now Wednesday, a week later. So, like, what's going on? Oh, okay. I see. Could I have your order number, please?\n\nYeah. It's 905933 679. Okay. Thank you so much for that. Okay.\n\nI apologize. It looks like your order there's been some inclement weather in, like, the Midwest, especially in the north, and your package got stuck at a facility in Wyoming because of that. But it looks like it's cleared since, and the package should be moved to New Jersey, and should be at your home address in 4 days, so it it should be arriving on Saturday. So it'll be arriving almost 2 weeks late instead of a week and a half late. Yeah.\n\nI I'm I'm really sorry about that. I can see here that, you know, you you're a long time customer with us, and, you know, you've placed a lot of orders. So if it's okay with you, on your next order that you placed through our website, because we messed up this time, I'd like to offer you a 40% discount on your next purchase with us. Yeah. I mean, that sounds good to me.\n\nOkay. That's good. Okay. Great. Okay.\n\nYour, yeah, your shoes should be there on Saturday, this coming Saturday. Is there anything else I can help you with at this time? No. Thank you. Okay.\n\nGreat. And I added the discount to your account, so it should populate shortly. Thanks. Thank you. Bye.", "paragraphs": [ { "sentences": [ { "text": "Hi.", "start": 1.8399999, "end": 2.24 }, { "text": "Thank you so much for calling Nike.", "start": 2.56, "end": 4.24 }, { "text": "This is Allison.", "start": 4.24, "end": 5.12 }, { "text": "How can I help you today?", "start": 5.12, "end": 6.3399997 }, { "text": "Hey.", "start": 7.2549996, "end": 7.7549996 } ], "num_words": 18, "start": 1.8399999, "end": 7.7549996 }, { "sentences": [ { "text": "I was supposed to receive a shoe order last Tuesday, and it's now Wednesday, a week later.", "start": 8.934999, "end": 18.74 }, { "text": "So, like, what's going on?", "start": 19.36, "end": 22.16 }, { "text": "Oh, okay.", "start": 22.16, "end": 22.98 }, { "text": "I see.", "start": 23.875, "end": 24.435 }, { "text": "Could I have your order number, please?", "start": 24.435, "end": 26.935 } ], "num_words": 33, "start": 8.934999, "end": 26.935 }, { "sentences": [ { "text": "Yeah.", "start": 27.555, "end": 27.875 }, { "text": "It's 905933 679.", "start": 27.875, "end": 33.12 }, { "text": "Okay.", "start": 34.46, "end": 34.78 }, { "text": "Thank you so much for that.", "start": 34.78, "end": 36.079998 }, { "text": "Okay.", "start": 39.395, "end": 39.895 } ], "num_words": 12, "start": 27.555, "end": 39.895 }, { "sentences": [ { "text": "I apologize.", "start": 41.155, "end": 41.895 }, { "text": "It looks like your order there's been some inclement weather in, like, the Midwest, especially in the north, and your package got stuck at a facility in Wyoming because of that.", "start": 42.434998, "end": 56.84 }, { "text": "But it looks like it's cleared since, and the package should be moved to New Jersey, and should be at your home address in 4 days, so it it should be arriving on Saturday.", "start": 57.735, "end": 71.700005 }, { "text": "So it'll be arriving almost 2 weeks late instead of a week and a half late.", "start": 72.880005, "end": 77.935 }, { "text": "Yeah.", "start": 77.994995, "end": 78.395 } ], "num_words": 84, "start": 41.155, "end": 78.395 }, { "sentences": [ { "text": "I I'm I'm really sorry about that.", "start": 78.395, "end": 80.555 }, { "text": "I can see here that, you know, you you're a long time customer with us, and, you know, you've placed a lot of orders.", "start": 81.115, "end": 87.85 }, { "text": "So if it's okay with you, on your next order that you placed through our website, because we messed up this time, I'd like to offer you a 40% discount on your next purchase with us.", "start": 89.43, "end": 101.75 }, { "text": "Yeah.", "start": 103.73, "end": 104.130005 }, { "text": "I mean, that sounds good to me.", "start": 104.130005, "end": 106.07 } ], "num_words": 75, "start": 78.395, "end": 106.07 }, { "sentences": [ { "text": "Okay.", "start": 106.29, "end": 106.69 }, { "text": "That's good.", "start": 106.69, "end": 107.490005 }, { "text": "Okay.", "start": 107.490005, "end": 107.810005 }, { "text": "Great.", "start": 107.810005, "end": 108.265 }, { "text": "Okay.", "start": 110.265, "end": 110.765 } ], "num_words": 6, "start": 106.29, "end": 110.765 }, { "sentences": [ { "text": "Your, yeah, your shoes should be there on Saturday, this coming Saturday.", "start": 111.385, "end": 116.284996 }, { "text": "Is there anything else I can help you with at this time?", "start": 117.14001, "end": 120.76 }, { "text": "No.", "start": 121.22, "end": 121.54 }, { "text": "Thank you.", "start": 121.54, "end": 122.26 }, { "text": "Okay.", "start": 122.26, "end": 122.58 } ], "num_words": 28, "start": 111.385, "end": 122.58 }, { "sentences": [ { "text": "Great.", "start": 122.58, "end": 122.9 }, { "text": "And I added the discount to your account, so it should populate shortly.", "start": 122.9, "end": 126.641 }, { "text": "Thanks.", "start": 127.201, "end": 127.701 }, { "text": "Thank you.", "start": 127.840996, "end": 128.561 }, { "text": "Bye.", "start": 128.561, "end": 129.061 } ], "num_words": 18, "start": 122.58, "end": 129.061 } ] } } ] } ] } } Try your audio files TranscriptionModel: Nova-2 [Speaker 0]: Hi. Thank you so much for calling Nike. This is Allison. How can I help you today? timestamp: 1.83-6.33 [Speaker 1]: Hey. I was supposed to receive a shoe order last Tuesday, and it's now Wednesday, a week later. So, like, what's going on? timestamp: 7.25-22.16 [Speaker 0]: Oh, okay. I see. Could I have your order number, please? timestamp: 22.16-26.93 [Speaker 1]: Yeah. It's 905933 679. timestamp: 27.55-28.77 [Speaker 0]: Okay. Thank you so much for that. Okay. I apologize. timestamp: 32.46-41.89 [Speaker 0]: It looks like your order there's been some inclement weather in, like, the Midwest especially in the north. And your package got stuck at a facility in Wyoming because of that. But it looks like it's cleared since, and the package should be moved to New Jersey. It should be at your home address in 4 days. So it it should be arriving on Saturday. timestamp: 42.35-71.70 [Speaker 1]: So it'll be arriving almost 2 weeks late instead of a week and a half late. timestamp: 72.8-77.85 [Speaker 0]: Yeah. I I'm I'm really sorry about that. I can see here that you know, you you're a long time customer with us, and, you know, you've placed a lot of orders. So if it's okay with you, on your next order that you placed through our website because we messed up this time, I'd like to offer you a 40% discount on your next purchase with us. timestamp: 77.99-101.67 [Speaker 1]: Yeah. I mean, that sounds good to me. timestamp: 103.65-106.07 [Speaker 0]: Okay. That's good. Okay. Great. Okay. timestamp: 106.21-110.84 [Speaker 0]: Your yeah. Your shoe should be there on Saturday, this coming Saturday. Is there anything else I can help you with at this time? timestamp: 111.38-120.76 [Speaker 1]: No. Thank you. timestamp: 121.22-122.26 [Speaker 0]: Okay. Great. And I added the discount to your account, so it should populate shortly. timestamp: 122.26-126.64 [Speaker 1]: Thanks. timestamp: 127.20-127.70 [Speaker 0]: Thank you. Bye. timestamp: 127.84-129.06 Call Center: Customer Support: 00:00 01:44 Download audio file. Summarization Sentiment analysis Intent Detection Topic detection summarize=true Summary: The customer calls Wham to change their payment and asks if they can do it on the phone since their sub is about to renew. The agent takes down the customer's information and updates their card information, including billing address and expiration date. The call ends with the agent thanking the customer for calling. Transcript Hi. Thank you so much for calling Wham. My name is Ali. How can I help you today? Hey. Just trying to change the payment info on the website. since my sub is about to renew. I was wondering if you could do it on the phone. Yeah. That shouldn't be a problem. Could I have your first and last name, please? Erin Shurtz, s c h e r t z. Alright. Thank you so much, Erin. Could I also have your phone number, please? 713-899 0745. Excellent. And I'm just going to verify with your security question really quick, if you don't mind. What street did you grow up on? Cypress Avenue. Okay. Excellent. Thank you so much. And I can just go ahead and update that card info for you. So first, what is the card number? 4708 Okay. 1209. Okay. 8732. Uh-huh. 7655. Great. And could I also have your expiration date as well? February 2028. Great. And could I also have your CVC on the back? 482. Okay. Thank you. And the the billing address is still the same? Yep. Okay. Great. then you're all set. Thank you so much for calling in. VOICE AI FOUNDATIONS Speech-to-text, text-to-speech, and audio intelligence models for developers. Unlock actionable insights and real-time results from your voice data. TEXT TO SPEECH Lightning fast voice synthesis for real-time AI agents and high-throughput applications. Human-like voices with natural tone, rhythm, and emotion. Learn More SPEECH TO TEXT Blazing fast and super accurate speech recognition, with advanced features to make your transcripts more readable and usable by humans and machines. Learn More AUDIO INTELLIGENCE Audio Intelligence like no other. Identify, analyze, and summarize conversational audio with efficient, task-specific language models built for enterprise scale. Learn More FREE API PLAYGROUND Try Deepgram for free with our API Playground. Test your own audio files or quickly explore its capabilities with our pre-recordings. Try it now for a seamless audio API experience! Go to Playground UNBEATABLE VALUE, UNMATCHED PERFORMANCE Extract the most value with speech-to-text and Language AI. 30% more accurate on average. Deepgram leads the industry with the most accurate models in the market across use case categories. 3-5x cheaper. Our GPU infrastructure optimizes speech and language models for superior, cost-effective performance. Up to 40x faster. Transcribe in real-time or an hour of pre-recorded audio in about 12 seconds. TRUSTED BY STARTUPS AND ENTERPRISES Discover the power of our product through real stories. I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success. Josh Schachter CEO, UpdateAI As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names. Adam Larsen CTO, Tethr I have not had such a nice experience working with somebody's API in so long. And Deepgram did that. And then I also realized, like, it's cheap as hell. Wes Bos Dev Influencer, Syntax Podcast Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure. Craig Akal Co-founder/Director, Elerian AI I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success. Josh Schachter CEO, UpdateAI As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names. Adam Larsen CTO, Tethr I have not had such a nice experience working with somebody's API in so long. And Deepgram did that. And then I also realized, like, it's cheap as hell. Wes Bos Dev Influencer, Syntax Podcast Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure. Craig Akal Co-founder/Director, Elerian AI I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success. Josh Schachter CEO, UpdateAI As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names. Adam Larsen CTO, Tethr I have not had such a nice experience working with somebody's API in so long. And Deepgram did that. And then I also realized, like, it's cheap as hell. Wes Bos Dev Influencer, Syntax Podcast Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure. Craig Akal Co-founder/Director, Elerian AI I’d recommend Deepgram to any B2B SaaS company that’s looking for the best-in-breed transcription and customer service and customer success. Josh Schachter CEO, UpdateAI As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names. Adam Larsen CTO, Tethr I have not had such a nice experience working with somebody's API in so long. And Deepgram did that. And then I also realized, like, it's cheap as hell. Wes Bos Dev Influencer, Syntax Podcast Not only is Deepgram’s technology the most advanced we found, but working with them has been an absolute pleasure. Craig Akal Co-founder/Director, Elerian AI The quality of your transcript determines the quality of the information you can extract from its text. Having a customized speech model literally pays dividends on all natural language processing that happens downstream. Scott Hoch Head of Data, Revenue.io Deepgram showed me less than 200ms latency today. That's the fastest text-to-speech I’ve ever seen. And, our customers would be more than satisfied with the conversation quality. Jordan Dearsley Co-founder, Vapi IT teams love Deepgram’s speed and accuracy, while tech teams appreciate how the platform doesn’t use the same open-source space that other vendors do, which helps with the total cost of ownership. Pete Ellis CPO, Red Box The quality of your transcript determines the quality of the information you can extract from its text. Having a customized speech model literally pays dividends on all natural language processing that happens downstream. Scott Hoch Head of Data, Revenue.io Deepgram showed me less than 200ms latency today. That's the fastest text-to-speech I’ve ever seen. And, our customers would be more than satisfied with the conversation quality. Jordan Dearsley Co-founder, Vapi IT teams love Deepgram’s speed and accuracy, while tech teams appreciate how the platform doesn’t use the same open-source space that other vendors do, which helps with the total cost of ownership. Pete Ellis CPO, Red Box The quality of your transcript determines the quality of the information you can extract from its text. Having a customized speech model literally pays dividends on all natural language processing that happens downstream. Scott Hoch Head of Data, Revenue.io Deepgram showed me less than 200ms latency today. That's the fastest text-to-speech I’ve ever seen. And, our customers would be more than satisfied with the conversation quality. Jordan Dearsley Co-founder, Vapi IT teams love Deepgram’s speed and accuracy, while tech teams appreciate how the platform doesn’t use the same open-source space that other vendors do, which helps with the total cost of ownership. Pete Ellis CPO, Red Box The quality of your transcript determines the quality of the information you can extract from its text. Having a customized speech model literally pays dividends on all natural language processing that happens downstream. Scott Hoch Head of Data, Revenue.io Deepgram showed me less than 200ms latency today. That's the fastest text-to-speech I’ve ever seen. And, our customers would be more than satisfied with the conversation quality. Jordan Dearsley Co-founder, Vapi IT teams love Deepgram’s speed and accuracy, while tech teams appreciate how the platform doesn’t use the same open-source space that other vendors do, which helps with the total cost of ownership. Pete Ellis CPO, Red Box UNLOCK VOICE AI AT SCALE WITH AN API CALL Get conversational intelligence with transcription and understanding on the world's best speech AI platform. Sign Up FreeBook a Demo Essential Building Blocks for Voice AI Get news and product updates. * I'm good with the Privacy Policy By submitting this form, you are agreeing to our Privacy Policy. 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