• HIGH RISK
  • VERIFIED
  • HUMAN
  • CLEAN

How to audit transcript accuracy with your AI

Connect AssemblyAI to your agent to pull raw transcript data and confidence metrics. Your AI then identifies where the transcription likely failed.

Ask AI about this page

Short answer

How can I check if my AI transcriptions are correct?

Your AI pulls the full text and sentence-level confidence scores to spot low-certainty segments. It then flags these specific timestamps for you to check manually. You'll get a list of high-risk areas instead of reading the whole file.

Audit outcomes

Where your audit results land.

The AI sorts the raw data into actionable categories based on how much you can trust the text.

HIGH RISK

Low confidence flags

The AI identifies segments where the confidence score is low. These are the specific spots where the transcription likely missed a word or misheard a name.

VERIFIED

High certainty zones

Segments with high confidence scores are marked as reliable. You can skip these areas during your review to save time.

HUMAN

Manual review queue

The AI hands off the most problematic timestamps to you. You'll need to listen to these specific clips to confirm the correct text.

CLEAN

Finalized text

Once you've cleared the flagged segments, the AI provides the corrected, ready-to-use transcript.

The workflow

What your AI does when the transcript arrives.

The AI moves from raw data retrieval to targeted error detection.

  1. Fetch the raw text

    The AI pulls the complete transcription from your AssemblyAI files.

    get_transcript

  2. Analyze sentence confidence

    It breaks the text down to see which specific sentences have low probability scores.

    get_transcript_sentences

  3. Isolate error zones

    The AI uses the sentence data to pinpoint the exact timestamps where the transcription is shaky.

    get_transcript_sentences

  4. Generate an audit report

    The AI compiles a list of segments that require your attention, separating the certain from the uncertain.

    get_transcriptget_transcript_sentences

Try it

Copy these to start.

Use these prompts to kick off your audit.

Starting points

These are opening lines. Swap out the bracketed text for your actual file IDs or project names.

AssemblyAI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AssemblyAI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "assemblyai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp"
    }
  }
}
Copy into chat04

  • Check the transcript for file_id_123 and list all sentences with a confidence score below 0.8.

  • Look at the transcription for the meeting_recording_01 and find where the AI struggled with technical terms.

  • Review the transcript for project_alpha and give me a list of timestamps that need a human to listen to them.

  • Scan the transcript for user_upload_99 and tell me if the sentence confidence is consistent throughout.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect AssemblyAI once, then ask.

One connection gives your agent access to your transcription data. Your credentials stay encrypted and secure on our side.

Connect AssemblyAI to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically fix the typos?

    No. The AI identifies where the errors are likely located, but you must perform the actual corrections.

  • 02

    Does the AI delete my original transcripts?

    No. The AI only reads the data through the provided tools; it cannot modify or delete your files in AssemblyAI.

  • 03

    Can I use this to find specific speakers?

    Yes, if the transcript includes speaker labels, the AI can use the sentence data to attribute low-confidence segments to specific people.

  • 04

    Can the AI upload a new transcript once I fix it?

    No. This MCP is designed for reading and analyzing existing transcript data, not for writing or uploading new files.

  • 05

    How does it know which parts are wrong?

    It relies on the confidence scores provided by the transcription service to identify segments where the model was uncertain.

  • More questions about AssemblyAI? See everything the AssemblyAI Connector can do

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