Best 10 Speech-to-Text AI Tools & Websites in 2025
Cluely AI, Grain, Hyprnote, VoiceType AI, Convoso, Ztalk.ai, MindoraAI, docsynecx, Opusense, Dolphin AI
Cluely AI
リアルタイムの販売サポートのための AI Sales Copilot。
G
Grain
自動要約と分析機能を備えた会議用 AI メモ作成ツール。
Hyprnote
AI による会議メモと要約の生成。
VoiceType AI
音声をテキストに変換する AI ディクテーション ツール。
Convoso
2006年からコンタクトセンターソリューションの革新に取り組んでいます
Ztalk.ai
ビデオ通話用の AI 駆動型音声翻訳ツール。
MindoraAI
コンテンツの作成と支援のためのオールインワン AI プラットフォーム。
docsynecx
さまざまなドキュメントの AI 駆動型ドキュメント処理と自動化。
Opusense
フォーマットされた現場検査レポートを生成する AI ツール。
D
Dolphin AI
顧客からの電話による機能リクエストの追跡を自動化します。
とは Speech-to-Text
AI Speech-to-Text, also known as automatic speech recognition (ASR), involves the use of artificial intelligence technology to convert spoken language into written text. This software solution is commonly used in applications like voice-activated assistants, transcription services, and other voice-controlled systems.
最も人気のあるSpeech-to-Text系AIツールとサイト トップ10
| No. | Name | Description |
|---|---|---|
| 1 | Cluely AI | リアルタイムの販売サポートのための AI Sales Copilot。 |
| 2 | Grain | 自動要約と分析機能を備えた会議用 AI メモ作成ツール。 |
| 3 | Hyprnote | AI による会議メモと要約の生成。 |
| 4 | VoiceType AI | 音声をテキストに変換する AI ディクテーション ツール。 |
| 5 | Convoso | 2006年からコンタクトセンターソリューションの革新に取り組んでいます |
| 6 | Ztalk.ai | ビデオ通話用の AI 駆動型音声翻訳ツール。 |
| 7 | MindoraAI | コンテンツの作成と支援のためのオールインワン AI プラットフォーム。 |
| 8 | docsynecx | さまざまなドキュメントの AI 駆動型ドキュメント処理と自動化。 |
| 9 | Opusense | フォーマットされた現場検査レポートを生成する AI ツール。 |
| 10 | Dolphin AI | 顧客からの電話による機能リクエストの追跡を自動化します。 |
Newest Speech-to-Text AI Tools & Websites
| No. | Name | Description |
|---|---|---|
| 1 | Luppa AI | Luppa is the all-in-one AI-powered content creation platform that helps businesses and creators effortlessly produce, manage, and grow their brand across all digital channels. |
| 2 | Postcrest | All-In-One AI Content Creation Platform for Social media |
| 3 | Countless.dev | Compare and evaluate various AI models and their specifications. |
Speech-to-Text Core Features
- Audio Transcription: This feature allows for the automatic transcribing of spoken words into text. It can handle multiple languages and accents.
- Noise Reduction: AI Speech-to-Text technology often comes with noise cancellation capabilities, providing clear transcriptions even in noisy environments.
- Voice Recognition: It can identify and understand different voices, which is useful in transcriptions of multi-speaker recordings.
- Real-time Transcription: This feature enables users to get transcriptions in real time, as the speech is happening.
- Integration Capabilities: Easy integration with other applications or systems
Who is suitable to use Speech-to-Text
AI Speech-to-Text technology is suitable for a range of users and industries. Professionals in law, healthcare, journalism, and research would find it beneficial as it automates the task of transcribing interviews and meetings. It's also valuable to businesses that need customer voice data converted into text for further analysis. Companies offering accessibility services could use it to provide real-time closed captions. It's also used in voice-activated virtual assistants for various purposes.
How does Speech-to-Text work?
AI Speech-to-Text technology works by applying machine learning algorithms on audio data. The audio data is first converted into a spectrogram which maps the audio frequencies over time. These spectrograms are then fed into a deep learning model which transcribes the speech into text. The model is typically trained on large datasets of spoken words and corresponding texts to achieve high accuracy.
Advantages of Speech-to-Text
AI Speech-to-Text technology is highly beneficial in saving time and improving efficiencies as it automates the transcription process. It can be used in any noisy environment thanks to its noise reduction capabilities. It is highly accurate in recognizing and transcribing different languages and accents. Moreover, its real-time transcription services can add accessibility features to various applications.
