AI & Intelligent Solutions · Service 07 of 14

Voice & Document AI turn calls and paperwork into structured data

O Clock Software, headquartered in Chennai, India, builds voice and document AI that reads forms, reports, IDs and claim files, transcribes calls and powers voice assistants. Extracted data flows into your systems with confidence scores, and uncertain cases go to a review queue instead of slipping through.

Discuss your project → What we build
  • 2009Founded in Chennai
  • 1,000+Projects delivered
  • 12+Countries served
  • 100+Engineers in-house
  • 4.6★Google rating · 59 reviews

Recognized & Reviewed On

... ... ... ... ...

What we build

Voice & Document AI: what we build

Speech-to-text, voice bots, OCR and structured data extraction from documents. Here are the six kinds of document AI and voice AI work we are asked for most often.

The processing pipeline

How documents become trusted data

Accuracy comes from the whole pipeline, not one model. Low-confidence fields are never silently accepted.

  1. 01

    Capture

    Email, upload, scanner, mobile camera or API intake.

    Control: Image clean-up and de-skewing

  2. 02

    Classify

    Identify each document type and split multi-document files.

    Control: Unknown types go to review

  3. 03

    Extract

    OCR and AI models pull the fields you need, including tables.

    Control: Every field gets a confidence score

  4. 04

    Validate

    Business rules and cross-checks against your systems.

    Control: Mismatches are flagged

  5. 05

    Review

    People check only flagged fields in a simple review screen.

    Control: Corrections improve the models

  6. 06

    Export

    Clean data is sent to your ERP, CRM or case system.

    Control: A full audit trail is kept

How we deliver

How we deliver Voice & Document AI

  1. 01

    Sample collection

    Real documents or call recordings across the variety you receive.

  2. 02

    Field and accuracy targets

    Which fields matter and what accuracy each needs.

  3. 03

    Pipeline build

    Capture, classification, extraction, validation and review screens.

  4. 04

    Validation

    Accuracy measured on samples the system has never seen.

  5. 05

    Go live, then reduce review

    Review starts broad and narrows as accuracy is proven.

Technology

Technology for Voice & Document AI

Chosen per project for fit, maintainability and your team's skills.

Document AI

  • Azure AI Document Intelligence
  • Google Document AI
  • Amazon Textract
  • Tesseract
  • LayoutLM

Speech

  • Whisper
  • Azure AI Speech
  • Google Speech-to-Text
  • Deepgram

Language models

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini

Integration

  • REST APIs
  • Message queues
  • Review UI
  • ERP and CRM connectors

Straight answers

Is Voice & Document AI right for you?

We would rather recommend less than sell you more. Here is how we judge it.

A good fit when

  • High volumes of similar documents or calls
  • People retype data from them today
  • The fields you need are clear
  • There is capacity to review edge cases

  • Every document is unique

    Highly varied documents may suit search and summarisation (RAG) better than field extraction.

  • Volumes are very low

    A few documents a week may not justify a pipeline; a simple form may do.

  • Zero review is required from day one

    We start with review on low-confidence fields and reduce it as accuracy is proven.

Use cases by industry

Voice & Document AI by industry

The same capability, shaped by the data, rules and users of each sector.

Related work

Where we have shipped this

Platforms in production that use this capability. See all work

Related services

Often combined with Voice & Document AI

Solutions built on this service

Prefer engineers in your own team?

The full service area

FAQ

Voice & Document AI FAQ

What is intelligent document processing?

Intelligent document processing (IDP) uses OCR and AI to read documents, identify their type and extract specific data into structured form. Unlike basic OCR, it understands layouts, tables and context, and flags low-confidence results for review.

How accurate is AI document extraction?

Accuracy depends on document quality and variety. We measure it per field on a sample of your real documents before launch, set confidence thresholds, and send low-confidence fields to review so errors are caught rather than passed on.

Can AI read handwriting?

Yes, modern models read clear handwriting reasonably well, though accuracy is lower than for printed text. We test on your samples and usually keep human review for handwritten fields.

Which languages do your voice AI systems support?

The speech models we use support many languages and accents, including Indian English, Tamil, Hindi, Arabic and Malay. We test transcription quality on recordings from your actual callers before choosing a model.

Can you connect document AI to our ERP or case system?

Yes. Extracted and validated data is sent to your systems through APIs, files or queues, with the source document linked so anyone can check the original.

Is document and call data kept secure?

Yes. Data is encrypted in transit and at rest, access is role-based, personal data can be masked, and processing can run in your own cloud region when residency rules require it.

More AI services

Other AI & Intelligent Solutions services

Fourteen AI services, one team. See the full AI service area

Reach Us. Let's create
big innovations together.
MAIL US info@oclocksoftware.com
TEAMS oclocksoftware
REACH US +91-44-42089942 +91-44-28279942