SpeechText

SpeechText is an AI transcriber tool. Pay-as-you-go transcription service that converts audio and video files to text using domain-specific speech models, with speaker identification, automatic punctuation, transcript editing, subtitle generation and one-step speech translation across 50+ languages.

SpeechText.AI is a transcription service that turns recorded audio and video into written text using deep neural network speech recognition models. The workflow is deliberately simple. A file is uploaded to the web app, a language and an industry domain are selected, and the engine converts speech into text. Recordings can arrive in any one of a long list of container formats, from everyday MP3 and MP4 to less common professional audio like DSS, CAF and MXF video, so most users never need to convert a file before submitting it. The distinguishing idea is domain tuning. Instead of one general model, SpeechText lets the user pick the industry the recording belongs to (finance, healthcare, legal, HR are named on the homepage) and the type of audio, such as a conference call, job interview, lecture or podcast. In theory this pushes accuracy upward on jargon that a generic engine tends to mangle. A second layer is speaker diarization: with speaker recognition switched on, the output marks who said what, which matters for interviews, panel discussions and meetings. Punctuation is inserted automatically, and results appear in an editor where the transcript can be searched, corrected and verified alongside the source audio. Output options cover the usual documentary needs. Transcripts export to TXT, PDF, DOCX and similar formats, and the service also produces AI subtitles, which makes it a reasonable fit for video creators, podcasters and researchers as well as for enterprise transcription. Speech translation runs in a single pass: pick a source recording, choose a target language, and the system transcribes and translates at once. The vendor cites a word error rate of 3.8% on the LibriSpeech benchmark and claims support for over 50 languages with regional variants and non-native accents. Where it sits in the market is on price model and specialisation rather than on ecosystem. Billing is pay-as-you-go against a pool of transcription minutes, with no monthly subscription, which undercuts per-hour human transcription and most seat-based SaaS rivals for occasional use. Buyers who need deep third-party integrations, live microphone capture or team collaboration features will find it thinner than those alternatives; buyers who simply want accurate files returned cheaply will find it focused.