Speechnotes

Captures real-time audio input from the user's microphone via the Web Audio API, streams it to a cloud-based transcription backend (engine provider unknown), and renders transcribed text into an in-browser notepad editor with minimal latency. The system handles automatic capitalization and supports voice commands for punctuation insertion, enabling hands-free note composition without installation or authentication.

Accepts uploaded audio files (MP3, WAV, etc.) and video files (MP4, etc.) via web form, sends them to a cloud transcription service for processing, and returns timestamped transcriptions with optional automatic speaker diarization (tagging who spoke when). The system generates plain-text output with timing markers, enabling users to correlate spoken content with specific moments in the recording. Pricing model for file transcription is not documented; appears to have a paywall separate from the free dictation notepad.

Interprets voice commands (e.g., 'period', 'comma', 'new line', 'capitalize next word') spoken during dictation and converts them into corresponding punctuation marks or formatting actions in the transcribed text. The system maintains a command vocabulary and applies formatting rules in real-time or post-processing. Specific command syntax, supported commands, and whether commands are language-specific are not documented.

A separate iOS application (TextHear) designed specifically for hearing-impaired users, converting speech from others into real-time text on the user's iPhone. The app captures audio from the environment or a conversation partner's microphone, transcribes it in real-time, and displays the text on the screen, enabling deaf or hard-of-hearing users to participate in conversations. Pricing and feature parity with the main Speechnotes app are not documented.

Offers a partnership with a human transcription service providing professional transcription at $0.80/minute, with a 10% discount coupon available to Speechnotes users. The system enables users to request human transcription for content where AI accuracy is insufficient, with results delivered through the Speechnotes interface or directly from the partner. Turnaround time, quality guarantees, and integration with the AI transcription workflow are not documented.

Accepts URLs pointing to YouTube videos, podcasts, or other web-hosted audio content, extracts the audio stream server-side, and returns a transcription. The system handles URL parsing and audio extraction without requiring the user to download files locally, enabling quick transcription of public web content. Implementation details (whether using YouTube API, direct stream capture, or third-party extraction service) are not documented.

Automatically generates concise summaries of transcribed content (from live dictation, file uploads, or URL extraction) using an unspecified AI model. The system analyzes the full transcription and produces a condensed version highlighting key points, enabling users to quickly grasp the essence of longer recordings without reading the entire transcript. Implementation approach (extractive vs. abstractive summarization, model architecture) is not documented.

Transcribes audio in non-English languages and optionally translates the resulting text into English or other target languages. The system claims to support 'all languages' but specific language coverage is not documented. Translation approach (whether using a separate translation model or integrated speech-to-text-to-translation pipeline) is not specified. Output includes both original-language transcription and translated text.

Injects a voice-typing interface into web forms, text areas, and rich-text editors (Gmail, Google Docs, etc.) via a Chrome extension, allowing users to dictate directly into any web-based text field without switching to the Speechnotes notepad. The extension captures microphone input, sends it to the same transcription backend as the main app, and inserts the resulting text into the active form field. Supports voice commands for punctuation and formatting within the context of the target application.

A native Android application (5M+ downloads, 4.3+ star rating) that provides voice-to-text dictation on mobile devices with a specialized punctuation keyboard and voice commands. The app includes features described as 'special punctuation-keyboard, commands & more' but specific command syntax and offline capabilities are not documented. Syncing with the web app or cloud storage is not mentioned, suggesting the app operates independently.

Exposes a REST API endpoint accepting POST requests with audio file URLs or base64-encoded audio data, processes transcription asynchronously, and delivers results via HTTP webhooks to a user-specified callback URL. The system enables programmatic integration with external applications and workflows, allowing developers to build transcription into their own services without embedding the Speechnotes UI. Webhook delivery decouples the transcription request from result retrieval, enabling long-running transcriptions without blocking the client.

Integrates with Zapier's automation platform, enabling users to build multi-step workflows connecting Speechnotes to hundreds of other apps (Google Sheets, Slack, Notion, etc.) without writing code. Users can create 'Zaps' that trigger transcription on file uploads, save results to cloud storage, send notifications, or populate databases. The integration abstracts the REST API into a visual workflow builder, making transcription automation accessible to non-technical users.

Generates captions (subtitle files or embedded captions) from transcribed audio in video files or YouTube links. The system transcribes the audio, aligns it with video timing, and produces caption output in a format suitable for video players or subtitle editors (format unspecified). Captions include timing information enabling synchronization with video playback. Implementation details (caption format, timing accuracy, speaker label inclusion) are not documented.