SGSANTHOSH GUNTUPALLIinblog.videotext.io·May 11 · 8 min readThe Hidden Cost of Multi-Tool Transcription WorkflowsYour transcription workflow probably touches 5 or 6 tools per job. Every transition between those tools costs time you are not measuring — and that time compounds across every job you process. Count the tools in your current transcription workflow. ...00
SGSANTHOSH GUNTUPALLIinblog.videotext.io·May 11 · 7 min readWhy Formatting Is Still the Most Annoying Part of TranscriptionAI solved the typing. Formatting is still your problem. Here is why — and what a different workflow looks like. If you work in transcription in 2026, you have probably noticed something that does not get discussed enough: the accuracy problem largel...00
SGSANTHOSH GUNTUPALLIinblog.videotext.io·May 11 · 8 min readManual Timestamp Fixing Is Wasting Hours of Your WeekTimestamp problems are the most avoidable category of manual work in transcription. Most workflows absorb this cost silently every week. Timestamp errors are not interesting. They do not require judgment or expertise. They do not involve nuanced dec...00
SGSANTHOSH GUNTUPALLIinblog.videotext.io·May 11 · 8 min readHow Agencies Process 100+ Hours of Audio Per WeekHigh-volume agencies are not just faster. They have eliminated entire categories of manual work. Here is what that infrastructure looks like — and where most agencies lose the most time. An agency processing 10 hours of audio per week and an agency ...00
SGSANTHOSH GUNTUPALLIinblog.videotext.io·May 11 · 9 min readSpeaker Diarization Problems Nobody Talks AboutThe benchmark accuracy numbers for AI speaker diarization are deceptively good. Here is what actually happens on production audio — and why these problems persist despite years of improvement. Speaker diarization — the problem of figuring out "who s...00
