Interview Transcription with AI: A Practical Accuracy Checklist

AI can create a fast first transcript from an interview, but fluent text can still contain wrong names, missing negatives, mixed speakers, invented words or altered levels of certainty. A transcript created from Check whether NERALVO Halo fits this workflow should remain a draft until the details that matter to publication, research, recruitment or professional records have been checked.

Choose the transcript type before the interview

Different uses require different editing rules. If those rules are not decided in advance, reviewers may remove words inconsistently or accidentally change meaning.

Agree the recording and use terms

Before recording, explain the purpose in language the participant can understand. Depending on the context, clarify:

• Who is conducting the interview.
• Why audio is being recorded.
• Whether the interview is attributable, anonymous, pseudonymous or confidential.
• Who will hear the audio and read the transcript.
• Whether an external transcription or AI processor is involved.
• How quotations, clips or extracts may be used.
• How long audio and working files will be kept.
• How the participant can ask questions, stop or follow the agreed withdrawal process.

Recording permission, permission to quote and permission to publish audio are distinct questions. Do not assume that agreement to one grants all three.

Prepare the audio setup

How NERALVO Halo may support interview capture

NERALVO Halo is an ultra-slim, phone-mounted AI voice recorder with NOTE mode for suitable in-person interviews, supported CALL mode for lawful and disclosed phone or social-app interviews, 64GB local storage, up to 35 hours of recording and Bluetooth sync with the DOWAY app. DOWAY can generate transcripts, summaries, speaker-separated notes, templates, translations, mind maps and exports. One year of DOWAY Max is included.

Compatibility varies by phone, app, case and speaker volume. A lawful test using the exact setup should be completed before relying on CALL mode. For studio production, evidential recording or highly sensitive work, specialist equipment or an authorised system may be more appropriate.

Make speech easier to transcribe without scripting the participant

• Ask one question at a time.
• Avoid interrupting or speaking over the participant.
• Confirm unfamiliar names, organisations and specialist terms.
• Repeat critical dates, figures or references where appropriate.
• Use verbal signposts when moving to a new subject.
• Ask what an unclear pronoun or abbreviation refers to.
• Do not finish the participant’s sentence simply to improve the recording.
• Record contextual notes separately when visual behaviour or documents matter.

Create a speaker map

AI speaker labels such as “Speaker 1” and “Speaker 2” should not be accepted blindly. At the beginning, record or note:

• Participant identifier.
• Interviewer and observer roles.
• Any person joining or leaving.
• Whether a quotation is from the participant or repeated from somebody else.
• Changes in microphone or call connection.

Wrong attribution can be more damaging than a misspelled word because it assigns a statement, instruction or opinion to the wrong person.

Use a multi-pass correction method

1. Structure pass: confirm the file, participant, date, speaker order and major sections.
2. Accuracy pass: listen against the audio and correct words, omissions and speaker labels.
3. High-risk pass: check names, numbers, dates, currencies, technical terms, negatives and conditional wording.
4. Meaning pass: preserve uncertainty, humour, quotation, hesitation or emphasis where it changes interpretation.
5. Publication pass: apply only the agreed editing, anonymisation and formatting rules.
6. Final verification: check every extract that will be quoted, reported or used in a decision.

Mark uncertainty instead of guessing

Do not silently invent words when the audio is unclear. Use a consistent convention such as:

• [inaudible 00:14:22] where speech cannot be understood.
• [unclear: “fifteen” or “fifty”] where alternatives remain possible.
• [overlapping speech] where attribution cannot be established.
• [name spelling to confirm] where an entity requires verification.
• [laughs] or another non-speech marker only where it helps preserve meaning.

Timestamps make uncertain passages and quotations easier to audit against the audio.

Prioritise high-consequence errors

Verify quotations separately

Before publishing or reporting a direct quotation:

1. Listen to the complete surrounding passage.
2. Confirm the speaker and exact wording.
3. Check whether an edit changes tone or meaning.
4. Preserve material qualifications.
5. Confirm attribution, anonymity and publication terms.
6. Check names, claims and statistics independently where required.
7. Use ellipses or editorial insertions transparently.

A polished quotation should not make a participant sound more confident, concise or favourable than they were.

Do not confuse anonymity with confidentiality

Removing a name may not prevent identification. A role, location, rare event or combination of details can reveal the participant. Review the transcript for indirect identifiers and keep any identity key separately with stricter access where pseudonyms are used.

Keep the transcript and summary separate

A summary can omit contradiction, minority views and uncertainty. Label files clearly:

• Original audio.
• Raw machine transcript.
• Human-corrected transcript.
• Edited publication transcript.
• AI or human summary.
• Approved final output.

This prevents a shortened derivative document from being mistaken for the source record.

Privacy, security and retention

Interview files may contain personal, confidential or commercially sensitive information. Use approved accounts and processors, restrict access, collect only what the purpose requires and set deletion points for audio, raw transcripts and duplicate exports. The final approved document may have a different retention period from temporary working files.

Related guides

• How to Choose an AI Voice Recorder for Transcript Export
• How to Create Accurate Attendance Notes from Client Meetings
• How to Draft Better Case Notes from Recorded Conversations

Final accuracy checklist

• Purpose and transcript type defined.
• Recording and use terms confirmed.
• Audio test completed.
• Speaker labels verified.
• Names and specialist terms checked.
• Numbers, dates and negatives checked.
• Unclear passages marked.
• Quotations checked against audio.
• Anonymisation reviewed.
• Access and retention applied.

Frequently asked questions

How accurate is automatic interview transcription?

There is no universal accuracy rate. Results vary with noise, accent, overlap, vocabulary, distance, connection quality and the type of error being measured. Human review remains necessary.

Can an AI summary replace the transcript?

No. It can help navigation, but it may omit context, contradiction or uncertainty.

Should filler words always be removed?

No. The decision depends on the transcript’s purpose and agreed convention. Editing must not change meaning.

Does a participant need to approve every quotation?

That depends on the agreed editorial, research or contractual process. The use terms should be clear before publication.

Can Halo record an interview without internet access?

Halo stores audio locally and can sync later for app-based processing. The complete security and approval process still matters.

Bottom line: AI provides speed, not automatic authority. Clear terms, usable audio, disciplined correction and quotation verification create a transcript that can be trusted.