Automated Speech to Text
Speak automatically detects languages and is capable of accurately analyzing multi-lingual audio and video.
Speak give you the ability to easily convert speech to text in 10 languages. With high-quality audio and video, Speak can immediately deliver a time-stamped transcript with up to 98% accuracy.
Speak labels and timestamps speakers so you can easily understand who spoke when.
With Speak, you can easily export your audio and video files into three popular subtitle formats: WebVTT, TTML, or SRT.
Speak automatically punctuates transcriptions like commas, question marks, and periods using our machine learning models.
Immediately translate the transcription and insights into more than 7 languages.
Speak automatically detect and labels items (for example person, table, ball, women etc) when they appear in the video.
Speak’s technology detects and displays faces identified in the uploaded video.
Our software automatically recognizes public figures, displays their biography, and allows users to see when they are present in the video.
Custom face identification
Tag unknown people in your videos. If they are seen again, our technology will automatically recognize them and show where that person is in the video.
High-Quality Thumbnail extraction
Automatically extract the best face images for thumbnails.
Find the most prevalent keywords mentioned by speakers in each audio or video file.
Identify the main topics based on speech content in the video or audio file.
Tracks brand mentions in spoken content or displayed on the screen during videos.
Compare instances of positive and negative sentiments within audio and video content.
Identify emotions in analyzed content using words, vocal signals and facial expressions.
In recordings with several people where they are on different channels (like a phone call or video conference), Speak will analyze each channel separately, recognize speakers, and then merge the transcripts so they are accurate.
Speak will analyze the file and clean up telephony audio or noisy recordings.