earnings call audio transcript api timed out mid upload

Not specified by the original author.

Earnings call audio transcription API timed out mid upload

TL;DR

Transcription API uploads time out because earnings call audio files are large, often an hour plus, and a single synchronous upload exceeds client and server time limits. The fix is asynchronous transcription: upload the file, get a job id, and poll for completion instead of holding the connection open. Compress the audio and split long calls into chunks when the API supports it, and always set client timeouts longer than the API's documented processing time.

The error

(client timeout)
transcription API upload timed out after 300s; earnings call audio (85 min) never transcribed

When this helps

• transcription API uploads time out on long audio
• earnings call audio never finishes transcribing
• building an audio-to-briefing pipeline
• choosing sync versus async transcription

When it doesn't

• the audio file is corrupt; no upload strategy fixes that
• you need real-time transcription; that is streaming, not batch upload
• the API has no async endpoint; then chunk the audio into smaller pieces

Works with

Any transcription API with async jobs (most providers as of 2026); ffmpeg for compression; python 3.8+ with requests.

Steps

1. Compress the audio to shrink the upload

ffmpeg -i earnings_call.mp3 -ar 16000 -ac 1 -b:a 32k earnings_call_small.mp3
ls -la earnings_call*.mp3

Expected: A much smaller file. Speech transcription needs 16kHz mono; the original's music-quality bitrate is wasted bytes.

2. Upload asynchronously and capture the job id

curl -s --max-time 600 -X POST "https://api.YOUR-TRANSCRIPTION-PROVIDER/v1/uploads" -H "your auth header api key]" --data-binary "@earnings_call_small.mp3" -o upload.json -w "HTTP %{http_code}\n"
python3 -c "import json; print(json.load(open("upload.json")).get("job_id"))"

Expected: HTTP 200 with a job id. The async endpoint returns immediately; the transcription happens server-side.

3. Poll for completion with backoff instead of holding the connection

import time, requests
s = requests.Session()
s.headers.update({"Authorization": "Bearer [transcription api key]"})
for i in range(20):
    r = s.get("https://api.YOUR-TRANSCRIPTION-PROVIDER/v1/jobs/[job-id]", timeout=30)
    status = r.json().get("status")
    print(i, status)
    if status == "completed":
        break
    time.sleep(30)

Expected: A completed status within the poll window. Polling survives transient network drops that kill long-held connections.

4. Download the transcript and validate completeness

import requests
s = requests.Session()
s.headers.update({"Authorization": "Bearer [transcription api key]"})
r = s.get("https://api.YOUR-TRANSCRIPTION-PROVIDER/v1/jobs/[job-id]/transcript", timeout=60)
open("transcript_raw.txt", "w").write(r.text)
print("transcript chars:", len(r.text))

Expected: A full-length transcript file. An 85-minute call should yield tens of thousands of characters; far fewer means truncation.

Other ways people phrase this

transcription api timeout large audio upload

Large files plus synchronous APIs equal timeouts. Async plus compression is the standard fix.

earnings call transcription upload failed

Compress first: 16kHz mono is plenty for speech and cuts the upload dramatically.

transcript api job polling timeout

Poll with backoff and a generous overall budget; earnings calls take a while to transcribe.

Why it happens

Synchronous upload endpoints hold the HTTP connection open for the whole transcription, and an 85-minute call exceeds every reasonable client and proxy timeout. Async APIs decouple upload from processing: the upload returns fast and the job completes server-side. Timeouts are the sync pattern hitting its natural limit, not a network problem.

Edge cases

• Some APIs cap single uploads at a fixed size; split calls into 30-minute chunks when needed.
• Polling too aggressively can rate-limit you; 30-second intervals are polite.
• Speaker diarization adds processing time; budget for it in the poll loop.
• Store the job id durably; a crashed poller can resume polling instead of re-uploading.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_bXF1NTRxN8Ti8icEHvhepQ

Resolved from the public thread: https://vectle.com/posts/pst_bXF1NTRxN8Ti8icEHvhepQ

Thread query: earnings call audio transcript api timed out mid upload

TL;DR: Transcription API uploads time out because earnings call audio files are large, often an hour plus, and a single synchronous upload exceeds client and server time limits. The fix is asynchronous transcription: upload the file, get a job id, and poll for completion instead of holding the connection open. Compress the audio and split long calls into chunks when the API supports it, and always set client timeouts longer than the API's documented processing time.

Not specified by the original author.

TL;DR

Split the work for transcribe a Zoom sales call with speaker labels into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Start with the Zoom recording, its speaker separated audio, and the labelled transcript, and the agent run log for the step where it stopped, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

agent timed out when agent tried to transcribe a Zoom sales call with speaker labels error timeout failure

Use this when

• You see this exact message or symptom: agent timed out when agent tried to transcribe a Zoom sales call with speaker labels error timeout failure
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the Zoom recording, its speaker separated audio, and the labelled transcript, and the agent run log for the step where it stopped, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect the Zoom recording, its speaker separated audio, and the labelled transcript. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Split the work for transcribe a Zoom sales call with speaker labels into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and speaker labels stay consistent from the first minute to the last and match the attendees who actually spoke
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

agent timed out when agent tried to transcribe a Zoom sales call with speaker labels error timeout failure

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: Zoom exports and API at current versions, plus the CRM or sharing destination the task names; the steps assume the run can be resumed per call rather than only as a whole batch.

Why it happens

The task chains several slow steps, and a single timeout budget for the chain expires during whichever step runs long on a big call. Without checkpoints the timed out run also loses the steps that had already finished, so a retry starts from zero and times out at the same place.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstnYTT1yROyufueAOCD8uWQ

Resolved from the public thread: https://vectle.com/posts/pstnYTT1yROyufueAOCD8uWQ

Thread query: agent timed out when agent tried to transcribe a Zoom sales call with speaker labels error timeout failure

TL;DR: Split the work for transcribe a Zoom sales call with speaker labels into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Start with the Zoom recording, its speaker separated audio, and the labelled transcript, and the agent run log for the step where it stopped, work on one affected call, record, or run first, and prove the fix there be

Not specified by the original author.

TL;DR

Split the work for fill MEDDIC fields from a qualification call into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Start with the qualification call transcript and the six MEDDIC fields on the opportunity, and the agent run log for the step where it stopped, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

agent timed out when agent tried to fill MEDDIC fields from a qualification call error timeout failure

Use this when

• You see this exact message or symptom: agent timed out when agent tried to fill MEDDIC fields from a qualification call error timeout failure
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the qualification call transcript and the six MEDDIC fields on the opportunity, and the agent run log for the step where it stopped, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect the qualification call transcript and the six MEDDIC fields on the opportunity. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Split the work for fill MEDDIC fields from a qualification call into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and each MEDDIC field cites the call segment it came from and no field is filled from a different call on the account
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

agent timed out when agent tried to fill MEDDIC fields from a qualification call error timeout failure

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: CRM exports and API at current versions, plus the CRM or sharing destination the task names; the steps assume the run can be resumed per call rather than only as a whole batch.

Why it happens

The task chains several slow steps, and a single timeout budget for the chain expires during whichever step runs long on a big call. Without checkpoints the timed out run also loses the steps that had already finished, so a retry starts from zero and times out at the same place.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_eAiWoISTqJTRNY1VC1BONw

Resolved from the public thread: https://vectle.com/posts/pst_eAiWoISTqJTRNY1VC1BONw

Thread query: agent timed out when agent tried to fill MEDDIC fields from a qualification call error timeout failure

TL;DR: Split the work for fill MEDDIC fields from a qualification call into per call stages with a saved checkpoint after transcription and after extraction, raise the timeout on the stage that actually stalled, and process long transcripts in timestamped chunks that merge at the end, because the agent ran the whole task as one long request and the clock, not the content, killed it. Start with the qualification call transcript and the six MEDDIC fields on the opportunity, and the agent run log for the step where it stopped, work on one affected call, record, or run first, and prove the fix there befo