One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
A video technology platform evolved from a simple screen recorder into a comprehensive tool for transcribing, summarizing, and searching audio content from meetings and interviews.
Relying on a self-hosted Whisper model on AWS created severe bottlenecks, requiring users to wait up to 20 minutes to transcribe a single one-hour...
“It was expensive, slow, and needed a ton of babysitting. Our users often had to wait up to 20 minutes for a one-hour recording to finish transcribing.”
AI-powered screen recorder, video transcriber, and meeting summarization platform.
LPU hardware and cloud platform for high-speed AI inference.
ScreenApp's Video transcription is part of this use case:
Related implementations across industries and use cases
Automated videos sounded robotic. Voice cloning now generates thousands of unique messages that mimic the sender's natural tone.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
A video technology platform evolved from a simple screen recorder into a comprehensive tool for transcribing, summarizing, and searching audio content from meetings and interviews.
Relying on a self-hosted Whisper model on AWS created severe bottlenecks, requiring users to wait up to 20 minutes to transcribe a single one-hour...
“It was expensive, slow, and needed a ton of babysitting. Our users often had to wait up to 20 minutes for a one-hour recording to finish transcribing.”
AI-powered screen recorder, video transcriber, and meeting summarization platform.
LPU hardware and cloud platform for high-speed AI inference.
ScreenApp's Video transcription is part of this use case:
Related implementations across industries and use cases
Automated videos sounded robotic. Voice cloning now generates thousands of unique messages that mimic the sender's natural tone.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
Legacy models caused 41 escalated cases. A 90-day switch to cloud AI restored accuracy and enabled real-time analytics.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.