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We serve universities, research institutes, and global businesses worldwide with high-quality, fast, and affordable transcription and translation services.

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WE'D LOVE TO HEAR FROM YOU

Have any

questions?

contact us

We're friendlier than our competitors!

We serve universities, research institutes, and global businesses worldwide with high-quality, fast, and affordable transcription and translation services.

Open Live Chat

Read FAQs

WE'D LOVE TO HEAR FROM YOU

Have any

questions?

contact us

We're friendlier than our competitors!

We serve universities, research institutes, and global businesses worldwide with high-quality, fast, and affordable transcription and translation services.

Open Live Chat

Read FAQs

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Blog articles

Illustration of a glowing laptop showing a transcript file at 3:07 AM under a night sky, surrounded by five floating cards naming transcription mistakes — filler words coded as data, swapped speaker labels, unflagged inaudible tags, drifting timestamps, and over-cleaned verbatim — that haunt researchers.

The Five Transcription Mistakes That Haunt Researchers at 3 AM

You are six months into your dissertation. Forty interviews completed. Your IRB protocol is solid, or so you thought. Then a committee member asks one question: "Who transcribed these interviews, and how did they access the files?" Your stomach drops. You uploaded everything to a freelancer you found online. No NDA. No security clearance. No idea what just happened to your participants' confidential healthcare stories. This happens more often than anyone wants to admit. Transcription lives in the shadow of research design — necessary enough to need, easy enough to overlook until it becomes a real problem. Here are the five mistakes that derail research projects.

Read article

Illustration showing an AI transcript flowing through a scales-of-justice icon into a checklist of IRB-approval conditions — protocol disclosure, consent coverage, human review, and approved data storage — for using AI transcription in IRB-approved research

Can I Use AI Transcription for IRB-Approved Research?

The short answer is yes. The longer answer is that "can I use AI transcription" is actually the wrong question. The question your IRB is asking is whether your transcription workflow, AI or otherwise, adequately protects your participants. That's a platform-specific question, not a yes-or-no about AI in general.

Read article

Illustration ranking the top 5 Spanish interview transcription and translation services, showing a Spanish-language audio interview processed through a settings icon into a ranked provider checklist covering dialect accuracy, turnaround, IRB compliance, human review, and pricing transparency.

Top 5 Spanish Interview Transcription and Translation Services

Spanish interview audio is not one problem. It's a dozen overlapping ones: which dialect, how fast the speaker talks, whether the moderator and respondent are in the same language, how many people are talking over each other, and whether the finished transcript needs to survive IRB review or a legal proceeding. Most transcription services handle one or two of those well. A few handle all of them.

Read article

Keep reading

Blog articles

Illustration of a glowing laptop showing a transcript file at 3:07 AM under a night sky, surrounded by five floating cards naming transcription mistakes — filler words coded as data, swapped speaker labels, unflagged inaudible tags, drifting timestamps, and over-cleaned verbatim — that haunt researchers.

The Five Transcription Mistakes That Haunt Researchers at 3 AM

You are six months into your dissertation. Forty interviews completed. Your IRB protocol is solid, or so you thought. Then a committee member asks one question: "Who transcribed these interviews, and how did they access the files?" Your stomach drops. You uploaded everything to a freelancer you found online. No NDA. No security clearance. No idea what just happened to your participants' confidential healthcare stories. This happens more often than anyone wants to admit. Transcription lives in the shadow of research design — necessary enough to need, easy enough to overlook until it becomes a real problem. Here are the five mistakes that derail research projects.

Read article

Illustration showing an AI transcript flowing through a scales-of-justice icon into a checklist of IRB-approval conditions — protocol disclosure, consent coverage, human review, and approved data storage — for using AI transcription in IRB-approved research

Can I Use AI Transcription for IRB-Approved Research?

The short answer is yes. The longer answer is that "can I use AI transcription" is actually the wrong question. The question your IRB is asking is whether your transcription workflow, AI or otherwise, adequately protects your participants. That's a platform-specific question, not a yes-or-no about AI in general.

Read article

Illustration ranking the top 5 Spanish interview transcription and translation services, showing a Spanish-language audio interview processed through a settings icon into a ranked provider checklist covering dialect accuracy, turnaround, IRB compliance, human review, and pricing transparency.

Top 5 Spanish Interview Transcription and Translation Services

Spanish interview audio is not one problem. It's a dozen overlapping ones: which dialect, how fast the speaker talks, whether the moderator and respondent are in the same language, how many people are talking over each other, and whether the finished transcript needs to survive IRB review or a legal proceeding. Most transcription services handle one or two of those well. A few handle all of them.

Read article

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