Lognow is a browser-based speech-to-text transcription tool designed for real-time and file-based transcription across 60 languages. It operates entirely within the user's browser, requiring no installation or meeting bots, and is positioned for use cases such as meetings, interviews, lectures, dictation, research, and voice notes. The platform emphasizes privacy, as audio streams from the browser to the transcription service without being stored, and only the resulting text transcript is saved to the user's account, with the option to delete it at any time.
Transcription with Lognow is initiated by selecting a microphone or sharing audio from any browser tab, including those running video conferencing applications. The tool provides live transcripts as users speak, with automatic speaker labeling and the ability to rename speakers, trim transcripts, generate summaries, and export results. Supported export formats include Markdown, and users can also transcribe existing audio or video files by uploading formats such as MP3, WAV, M4A, MP4, WebM, OGG, FLAC, and AAC, up to 2 GB or 5 hours per file. Transcription of uploaded files runs in the background, allowing users to close the browser tab and return later.
Lognow claims high accuracy, referencing a 2025 public benchmark in which it achieved the lowest error rates among several leading speech-to-text engines across all tested languages, using Word Error Rate (WER) and Character Error Rate (CER) as metrics. The platform supports automatic language detection, including mixed-language conversations, and speaker labels function across all languages.
Pricing is based on a pay-as-you-go model, with a flat rate for transcription minutes. New users receive 200 free minutes upon signup without requiring a credit card, and purchased credits do not expire. Additional features such as translation, AI-generated titles, and summaries are billed separately. Recordings under 10 seconds are not deducted from the credit balance. Lognow is classified as a real-time transcription and speech-to-text tool for browser-based workflows.
In the AI & ML space, Private, real-time transcription takes a focused approach. It focuses on transcribing speech to text in real time privately, without uploading audio to servers. It is built as a consumer product for professionals needing transcription. There is a free tier. The product ships for the web.
Private, real-time transcription first shipped in 2025. Key capabilities include real-time transcription, speaker detection, and privacy-focused. The interface is available in 13 languages, including Arabic, German, and English.
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