Text to Speech
Speech to Text
Conversational AI
Dubbing
Voice Cloning
Voice Changer
Voice Isolation
Text to Sound Effects
AudioNinja, DIKTATORIAL Suite, MasteredNow, Cleanvoice AI, AVbeam, Voice Changer .io, LALAL.AI, Audyo, Read-this.ai, Ai-SPY are the best paid / free Audio tools.






Audio refers to the use of sound and speech data in artificial intelligence applications. AI models can be trained on large datasets of audio recordings to enable tasks such as speech recognition, speaker identification, sentiment analysis, and natural language processing. The development of deep learning techniques has significantly advanced the capabilities of AI systems in processing and understanding audio data.
Core Features
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Price
|
How to use
| |
|---|---|---|---|
ElevenLabs | Text to Speech |
Free $0 per month 10k credits/month
| Users can generate speech from text, clone voices, dub videos, and create audiobooks using the platform's tools. The platform offers APIs and SDKs for developers to integrate AI audio capabilities into their products. Users can select voices, direct delivery, and publish content. |
TurboScribe | Audio and video transcription to text |
TurboScribe Free Free 3 Transcripts Daily, 30 Minute Uploads, Lower Priority
| Upload an audio or video file, select the audio language, choose a transcription mode (Cheetah, Dolphin, or Whale), and enable speaker recognition or audio restoration if needed. Then, click 'Transcribe' to generate the text. |
Adobe Podcast | AI-powered audio enhancement | While the full product is under waitlist, Adobe Podcast currently offers two free quick tools: 'Enhance Speech' to remove background noise and echo, and 'Mic Check' to optimize microphone sound. The full platform will allow users to record, transcribe, edit, and share audio directly on the web. | |
Otter.ai | Real-time transcription |
Basic Free AI meeting assistant records, transcribes and summarizes in real time. 300 monthly transcription minutes; 30 minutes per conversation; Import and transcribe 3 audio or video files lifetime per user
| Otter.ai auto-joins Zoom, Google Meet, and Microsoft Teams meetings to automatically take notes. Users can follow along live on the web or on the iOS or Android app. Otter AI Chat can be used to get answers and generate content like emails and status updates. Action items are automatically captured and assigned. |
Speechify | Text-to-speech conversion |
Free Free Basic text-to-speech functionality
| Install the Speechify app or browser extension, select the text you want to hear, and press play. You can customize the voice, speed, and language. |
Happy Scribe | Automatic transcription and subtitling |
Starter Pay as you go From $12 per 60 min
| Upload your audio or video file to Happy Scribe's platform. Choose between automatic or human-made transcription/subtitling. Review and edit the generated text using the interactive editor. Export the final transcript or subtitles in various formats. |
Moises | AI Audio Separation | Upload a track or use a YouTube link on the Moises website or app. The AI will process the song and allow you to separate vocals and instruments, adjust speed and pitch, and more. | |
NaturalReader | AI Text to Speech with natural AI voices | Users can upload documents, paste text, or use the Chrome extension to listen to webpages. The platform offers options for personal, commercial, and educational use, each with specific features and licensing. | |
Descript | Text-based video and audio editing |
Free $0 1 transcription hour / month, Export 720p, with watermarks, Limited trial of Basic AI features, Limited trial of AI Speech
| To use Descript, simply upload your audio or video file, and the AI will automatically transcribe it. You can then edit the text, and Descript will automatically adjust the audio and video accordingly. You can also use Descript's AI features to enhance your content, such as removing filler words or improving audio quality. |
LALAL.AI | Vocal and instrumental track separation |
Lite pack $20 one-time fee, 90 Minutes
| Users can upload any audio or video file to LALAL.AI and receive high-quality extracted tracks in a few seconds. After uploading, users can select stems, choose files, and process them. New users need to sign up to split the entire file and download full stems. |

AI Detector
AI Image Detector
AI Content Detector
AI API
AI Checker

AI Text-to-Speech
AI Voice Generator
AI OCR
Healthcare: Transcribing medical records and analyzing patient-doctor conversations
Finance: Verifying speaker identity for secure transactions and fraud detection
Automotive: Enabling voice-controlled interfaces in vehicles for hands-free operation
Education: Providing real-time transcription and translation for lectures and presentations
User reviews of audio AI applications are generally positive, with many praising the convenience and efficiency of voice-controlled interfaces. Some common points of feedback include the need for better handling of accents and background noise, as well as concerns about privacy and data security. Overall, users see great potential in audio AI and are excited to see how the technology continues to evolve and improve.
A virtual assistant, like Amazon's Alexa, using speech recognition to understand and respond to user commands
A call center using sentiment analysis to gauge customer satisfaction and prioritize issues
A language learning app using speech recognition to provide feedback on pronunciation
To use audio in AI applications, follow these steps: 1. Collect and preprocess audio data, ensuring it is in a compatible format. 2. Label and annotate the data if necessary for supervised learning tasks. 3. Choose an appropriate AI model architecture, such as a convolutional neural network or recurrent neural network. 4. Train the model on the audio dataset, optimizing hyperparameters as needed. 5. Evaluate the model's performance on a validation set and fine-tune if necessary. 6. Deploy the trained model in the desired application, such as a virtual assistant or call center software.
Improved user experience through natural language interaction
Increased accessibility for users with disabilities
Enhanced efficiency in customer service and support
Valuable insights from analyzing large volumes of audio data
Enabling new applications, such as real-time translation and transcription







































