Multimodal AI
Speech AI and transcription with structured output
Speech AI turns recorded calls and meetings into searchable transcripts and structured records. Lingows AI builds pipelines that transcribe audio, identify speakers, extract the outcomes a business tracks, and write those results into a CRM or ticketing system with the audio retained for verification.
01What this is
A transcript alone changes little. The value appears when a call becomes structured fields: what was requested, what was agreed, what follow up is owed, and by when.
Audio is retained alongside the extracted record. Transcription errors happen, and any disputed field needs to be checkable against the original recording.
02Who this suits
Sales call operations
Teams that need call outcomes in the CRM without manual note taking.
Support quality review
Contact centers sampling calls for compliance and coaching.
Meeting heavy organizations
Groups losing decisions and action items to unwritten meetings.
03How it works
- Step 01
Transcribe with diarization
Separate speakers so attribution is possible in the extracted record.
- Step 02
Extract to a schema
Pull the specific outcomes the business tracks rather than a generic summary.
- Step 03
Write and link
Records go to the system of record with a link back to the audio and transcript.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical build | 3 to 8 weeks |
| Inputs | Call recordings, meeting audio, voicemail |
| Output | Transcript plus structured outcome record |
| Retention | Audio retained per client policy |
05Common failure modes
Discarding audio
Once the recording is gone, no transcription error can be corrected or contested.
Summary without structure
Free text summaries are not queryable and cannot drive a workflow.
Consent handled late
Recording rules vary by jurisdiction and must be settled before deployment.
FAQQuestions
Common questions
How accurate is transcription?
Strong on clear single speaker audio and noticeably weaker with crosstalk, background noise, or heavy accents. Accuracy should be measured on the client's own recordings.
Can it work in languages other than English?
Yes for widely supported languages, with quality varying by language and provider. Support is confirmed against the specific languages a client needs before the build.
Last reviewed 2026-08-16
UPWhere this sits
Speech and Transcription is part of Multimodal AI. The pillar page covers scope, delivery model, and the other capabilities in the set.
- Document and Vision
Document and vision AI reads scans, photographs, and diagrams that traditional text processing cannot handle. Lingows AI builds vision pipelines that extract structured fields from images, score confidence per field, retain a link to the source image region, and route uncertain results to human review.
- Image and Video Generation
Generation pipelines produce image and video variants at volume under defined brand constraints. Lingows AI builds these pipelines with a locked style specification, automated checks, a human review gate before publication, and provider licensing terms confirmed in advance of any production workload.
- Sensor and IoT Data
Sensor and IoT pipelines turn continuous equipment readings into something a person can act on. Lingows AI builds systems that detect patterns in streaming data, combine readings with maintenance history and operator notes, and issue plain language alerts with the supporting evidence attached.
Talk through speech and transcription
Bring the process, the volume, and the systems it touches. Lingows AI will scope the build, the effort range, and what running it costs.