Hey folks,
Running into a weird issue pulling full transcripts for quality review. I’m using the Python SDK (genesyscloud) to fetch conversation details for voice interactions. The goal is to get the complete voice-to-text transcript to feed into a custom compliance check script.
I’m hitting GET /api/v2/analytics/conversations/details with the includeTranscription flag set to true. For calls under 3 minutes, it works perfectly. The transcription object in the response contains the full text and timestamps. But for anything longer than that, the transcript gets cut off. It doesn’t error out. It just returns a partial string, usually ending mid-sentence. No HTTP 4xx or 5xx errors. Just incomplete data.
Here’s the snippet I’m using:
from genesyscloud import analytics_api
analytics = analytics_api.AnalyticsApi(api_client)
response = analytics.get_analytics_conversations_details(
query_body=query,
include_transcription=True,
size=1
)
for conv in response.entities:
print(conv.transcription.text)
The query_body is pretty standard, filtering by interaction.type == 'voice' and a specific date range. I’ve checked the raw JSON response and the truncation happens there, not in my parsing logic. I even tried increasing the size parameter, but that just gives me more conversations, not longer transcripts.
Is there a max length limit on the transcription.text field in this endpoint? Or am I missing a pagination token specifically for the transcript data? I’ve dug through the API docs but couldn’t find anything about transcript chunking or continuation tokens for this specific endpoint.
Any ideas on how to get the full text for a 10-minute call?
# Don't rely on the analytics endpoint for full transcripts. It's capped.
# Use the Conversations API instead.
from genesyscloud import ConversationsApi
api_instance = ConversationsApi(platform_client)
conversation_id = "your-conv-id-here"
# Get the full conversation object
conv = api_instance.get_conversation(conversation_id=conversation_id)
# Transcripts are nested in the 'transcription' array
if conv.transcription:
for transcript in conv.transcription:
for utterance in transcript.utterances:
print(f"{utterance.start_time}: {utterance.text}")
You’re hitting the analytics service limit, not a bug. That endpoint is built for aggregation and sampling, not raw data dumps. The includeTranscription flag pulls a snippet, usually the first few seconds or a truncated summary, because the analytics engine doesn’t store the full JSON blob for every single utterance in that view. It’s a storage optimization.
If you need the actual text for compliance, you have to go to the source. The ConversationsApi holds the complete interaction record. You’ll need the conversationId from your analytics query result, then hit GET /api/v2/conversations/{conversationId}. The response contains a transcription array. Each item in there has an utterances list. That’s where the real data lives.
Keep in mind that get_conversation can be slow for really long calls. It pulls the whole object, including media files references and all metadata. If you’re doing this in a loop for thousands of calls, you’ll hammer the API rate limits. Better to queue these requests or use the streaming webhook if you can catch them in real-time. But for retroactive pulls, this is the only way. The analytics endpoint just won’t give you the full picture.