Retrieving Genesys Cloud Call Recording Transcriptions via Node.js API
What You Will Build
A Node.js service that queries the Genesys Cloud Recordings API to fetch call transcriptions, polls for asynchronous completion with jittered backoff, streams large transcript files using HTTP range headers, validates PII redaction markers, falls back to raw audio on failure, syncs metadata to compliance storage, tracks latency and accuracy metrics, and exposes a search endpoint for agent review.
This tutorial uses the Genesys Cloud CX REST API v2 and the official @genesyscloud/api-authorization SDK for token management.
The implementation covers Node.js 18+ with modern fetch and express for the search service.
Prerequisites
- OAuth 2.0 Client Credentials flow with scopes:
recordings:view,recordings:read,search:read,analytics:query - Genesys Cloud CX REST API v2
- Node.js 18.0 or higher
- External dependencies:
npm install @genesyscloud/api-authorization express axios uuid
Authentication Setup
Genesys Cloud requires OAuth 2.0 bearer tokens for all API requests. The @genesyscloud/api-authorization SDK handles token acquisition and automatic refresh. You must configure the environment and client credentials before issuing requests.
const { AuthorizationApi } = require('@genesyscloud/api-authorization');
const authConfig = {
environment: process.env.GENESYS_ENVIRONMENT || 'mypurecloud.com',
clientId: process.env.GENESYS_CLIENT_ID,
clientSecret: process.env.GENESYS_CLIENT_SECRET
};
const authApi = new AuthorizationApi();
authApi.configure({
environment: authConfig.environment,
clientId: authConfig.clientId,
clientSecret: authConfig.clientSecret
});
async function getAccessToken() {
try {
const tokenResponse = await authApi.postOAuthToken({
grant_type: 'client_credentials',
scope: 'recordings:view recordings:read search:read analytics:query'
});
return tokenResponse.body.access_token;
} catch (error) {
if (error.status === 401) {
throw new Error('OAuth authentication failed. Verify client credentials and scopes.');
}
throw error;
}
}
The AuthorizationApi class caches tokens internally and handles refresh cycles automatically when the access token expires. You will pass the token to subsequent fetch calls via the Authorization: Bearer <token> header.
Implementation
Step 1: Polling for Transcription Status with Jittered Intervals
Transcription is an asynchronous process. When a recording finishes, Genesys Cloud queues the audio for speech-to-text processing. The transcript status transitions from in_progress to completed or failed. You must implement polling with exponential backoff and random jitter to avoid thundering herd problems and respect rate limits.
async function pollTranscriptStatus(transcriptId, maxAttempts = 20, baseDelayMs = 2000) {
let attempt = 0;
while (attempt < maxAttempts) {
const response = await fetchTranscript(transcriptId);
const status = response.status;
if (status === 'completed') return response;
if (status === 'failed') throw new Error(`Transcription failed for ID ${transcriptId}: ${response.failureReason}`);
attempt++;
const jitter = Math.random() * 1000;
const delay = Math.min(baseDelayMs * Math.pow(2, attempt - 1) + jitter, 30000);
await new Promise(resolve => setTimeout(resolve, delay));
}
throw new Error(`Transcription polling timed out after ${maxAttempts} attempts.`);
}
async function fetchTranscript(transcriptId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/transcripts/${transcriptId}`;
const res = await fetch(url, {
headers: {
'Authorization': `Bearer ${token}`,
'Accept': 'application/json'
}
});
if (res.status === 429) {
const retryAfter = parseInt(res.headers.get('Retry-After') || '5', 10);
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
return fetchTranscript(transcriptId);
}
if (!res.ok) throw new Error(`HTTP ${res.status}: ${await res.text()}`);
return res.json();
}
The fetchTranscript function handles 429 rate limit responses by reading the Retry-After header and recursively retrying. The polling loop calculates a delay using exponential backoff plus a random jitter value between 0 and 1000 milliseconds.
Step 2: Streaming Large Transcripts with Range Headers and PII Validation
Large call recordings generate transcript files that exceed standard memory buffers. Genesys Cloud supports standard HTTP range requests for transcript content. You will request the transcript in chunks, validate PII redaction markers, and assemble the final text. Genesys Cloud replaces sensitive data with <REDACTED> or [REDACTED_PII] markers when redaction rules are active.
const CHUNK_SIZE = 8192;
async function streamTranscriptContent(transcriptId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/transcripts/${transcriptId}/content`;
let offset = 0;
let fullText = '';
let isLastChunk = false;
while (!isLastChunk) {
const rangeHeader = `bytes=${offset}-${offset + CHUNK_SIZE - 1}`;
const res = await fetch(url, {
headers: {
'Authorization': `Bearer ${token}`,
'Range': rangeHeader,
'Accept': 'text/plain'
}
});
if (res.status === 416) {
throw new Error('Range not satisfiable. Transcript length mismatch.');
}
if (!res.ok) throw new Error(`HTTP ${res.status} during stream fetch`);
const contentRange = res.headers.get('Content-Range');
const chunkBuffer = Buffer.from(await res.arrayBuffer());
fullText += chunkBuffer.toString('utf-8');
offset += chunkBuffer.length;
if (contentRange && contentRange.includes('/')) {
const totalSize = parseInt(contentRange.split('/')[1], 10);
isLastChunk = offset >= totalSize;
} else {
isLastChunk = chunkBuffer.length < CHUNK_SIZE;
}
}
validatePiiRedaction(fullText);
return fullText;
}
function validatePiiRedaction(text) {
const piiPattern = /<REDACTED>|[REDACTED_PII]/g;
const matches = text.match(piiPattern);
if (matches) {
console.log(`PII Redaction validated: ${matches.length} markers detected in transcript.`);
} else {
console.warn('No PII redaction markers found. Verify redaction rules are active in Genesys Cloud.');
}
return true;
}
The Content-Range header response format is bytes 0-8191/15432. The code parses the total size to determine when to stop fetching. The validatePiiRedaction function scans the assembled text for standard Genesys Cloud redaction tags and logs compliance validation results.
Step 3: Fallback to Raw Audio and Compliance Metadata Sync
When transcription fails or returns an empty result, the system must fall back to retrieving the raw audio file for manual review or alternative processing. You will also synchronize transcript metadata with an external compliance storage system via HTTP POST.
async function fallbackToRawAudio(recordingId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/${recordingId}/audio`;
const res = await fetch(url, {
headers: {
'Authorization': `Bearer ${token}`,
'Accept': 'audio/wav'
}
});
if (!res.ok) throw new Error(`Audio fallback failed: HTTP ${res.status}`);
const audioBuffer = Buffer.from(await res.arrayBuffer());
return audioBuffer;
}
async function syncToComplianceStorage(transcriptData, transcriptText) {
const compliancePayload = {
transcriptId: transcriptData.id,
recordingId: transcriptData.recordingId,
duration: transcriptData.duration,
completedTimestamp: transcriptData.completedTimestamp,
piiMarkersPresent: transcriptText.includes('<REDACTED>'),
qualityScore: transcriptData.quality?.confidence || 0,
syncedAt: new Date().toISOString()
};
const res = await fetch(process.env.COMPLIANCE_API_URL || 'https://compliance.example.com/api/v1/ingest', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${process.env.COMPLIANCE_TOKEN}`
},
body: JSON.stringify(compliancePayload)
});
if (!res.ok) throw new Error(`Compliance sync failed: HTTP ${res.status}`);
return res.json();
}
The fallback function requests the raw WAV audio using the recordings:read scope. The compliance sync function extracts latency-relevant timestamps and quality scores, then transmits a structured payload to an external endpoint. You must configure COMPLIANCE_API_URL and COMPLIANCE_TOKEN in your environment.
Step 4: Latency Monitoring, Accuracy Tracking, and Search Service
Genesys Cloud returns transcription quality metrics and timestamps that enable latency calculation. You will compute processing duration, log accuracy scores, and expose an Express route that queries the Genesys Cloud Search API for transcript content.
function calculateTranscriptionMetrics(transcriptData) {
const created = new Date(transcriptData.createdTimestamp).getTime();
const completed = new Date(transcriptData.completedTimestamp).getTime();
const processingLatencyMs = completed - created;
const accuracyScore = transcriptData.quality?.confidence || 0;
return {
processingLatencyMs,
accuracyScore,
wordCount: transcriptData.wordCount || 0,
speakerCount: transcriptData.speakerCount || 0
};
}
const express = require('express');
const app = express();
app.use(express.json());
app.post('/api/transcripts/search', async (req, res) => {
try {
const { query, limit = 10 } = req.body;
const token = await getAccessToken();
const searchPayload = {
query: `transcript:"${query}"`,
limit
};
const searchRes = await fetch(`https://${authConfig.environment}/api/v2/search/recordings`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'Content-Type': 'application/json',
'Accept': 'application/json'
},
body: JSON.stringify(searchPayload)
});
if (!searchRes.ok) throw new Error(`Search API failed: HTTP ${searchRes.status}`);
const results = await searchRes.json();
res.json(results);
} catch (error) {
res.status(500).json({ error: error.message });
}
});
The calculateTranscriptionMetrics function derives latency in milliseconds from the createdTimestamp and completedTimestamp fields. The accuracy score comes from the quality.confidence field, which ranges from 0.0 to 1.0. The Express route accepts a POST request with a search query and forwards it to /api/v2/search/recordings, which indexes transcript text and returns matching recording IDs.
Complete Working Example
const { AuthorizationApi } = require('@genesyscloud/api-authorization');
const express = require('express');
const authConfig = {
environment: process.env.GENESYS_ENVIRONMENT || 'mypurecloud.com',
clientId: process.env.GENESYS_CLIENT_ID,
clientSecret: process.env.GENESYS_CLIENT_SECRET
};
const authApi = new AuthorizationApi();
authApi.configure({
environment: authConfig.environment,
clientId: authConfig.clientId,
clientSecret: authConfig.clientSecret
});
async function getAccessToken() {
const tokenResponse = await authApi.postOAuthToken({
grant_type: 'client_credentials',
scope: 'recordings:view recordings:read search:read analytics:query'
});
return tokenResponse.body.access_token;
}
async function pollTranscriptStatus(transcriptId, maxAttempts = 20, baseDelayMs = 2000) {
let attempt = 0;
while (attempt < maxAttempts) {
const response = await fetchTranscript(transcriptId);
const status = response.status;
if (status === 'completed') return response;
if (status === 'failed') throw new Error(`Transcription failed for ID ${transcriptId}: ${response.failureReason}`);
attempt++;
const jitter = Math.random() * 1000;
const delay = Math.min(baseDelayMs * Math.pow(2, attempt - 1) + jitter, 30000);
await new Promise(resolve => setTimeout(resolve, delay));
}
throw new Error(`Transcription polling timed out after ${maxAttempts} attempts.`);
}
async function fetchTranscript(transcriptId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/transcripts/${transcriptId}`;
const res = await fetch(url, { headers: { 'Authorization': `Bearer ${token}`, 'Accept': 'application/json' } });
if (res.status === 429) {
const retryAfter = parseInt(res.headers.get('Retry-After') || '5', 10);
await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
return fetchTranscript(transcriptId);
}
if (!res.ok) throw new Error(`HTTP ${res.status}: ${await res.text()}`);
return res.json();
}
const CHUNK_SIZE = 8192;
async function streamTranscriptContent(transcriptId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/transcripts/${transcriptId}/content`;
let offset = 0;
let fullText = '';
let isLastChunk = false;
while (!isLastChunk) {
const rangeHeader = `bytes=${offset}-${offset + CHUNK_SIZE - 1}`;
const res = await fetch(url, { headers: { 'Authorization': `Bearer ${token}`, 'Range': rangeHeader, 'Accept': 'text/plain' } });
if (res.status === 416) throw new Error('Range not satisfiable.');
if (!res.ok) throw new Error(`HTTP ${res.status} during stream fetch`);
const contentRange = res.headers.get('Content-Range');
const chunkBuffer = Buffer.from(await res.arrayBuffer());
fullText += chunkBuffer.toString('utf-8');
offset += chunkBuffer.length;
if (contentRange && contentRange.includes('/')) {
const totalSize = parseInt(contentRange.split('/')[1], 10);
isLastChunk = offset >= totalSize;
} else {
isLastChunk = chunkBuffer.length < CHUNK_SIZE;
}
}
validatePiiRedaction(fullText);
return fullText;
}
function validatePiiRedaction(text) {
const piiPattern = /<REDACTED>|[REDACTED_PII]/g;
const matches = text.match(piiPattern);
if (matches) console.log(`PII Redaction validated: ${matches.length} markers detected.`);
else console.warn('No PII redaction markers found.');
return true;
}
async function fallbackToRawAudio(recordingId) {
const token = await getAccessToken();
const url = `https://${authConfig.environment}/api/v2/recordings/${recordingId}/audio`;
const res = await fetch(url, { headers: { 'Authorization': `Bearer ${token}`, 'Accept': 'audio/wav' } });
if (!res.ok) throw new Error(`Audio fallback failed: HTTP ${res.status}`);
return Buffer.from(await res.arrayBuffer());
}
async function syncToComplianceStorage(transcriptData, transcriptText) {
const compliancePayload = {
transcriptId: transcriptData.id,
recordingId: transcriptData.recordingId,
duration: transcriptData.duration,
completedTimestamp: transcriptData.completedTimestamp,
piiMarkersPresent: transcriptText.includes('<REDACTED>'),
qualityScore: transcriptData.quality?.confidence || 0,
syncedAt: new Date().toISOString()
};
const res = await fetch(process.env.COMPLIANCE_API_URL || 'https://compliance.example.com/api/v1/ingest', {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${process.env.COMPLIANCE_TOKEN}` },
body: JSON.stringify(compliancePayload)
});
if (!res.ok) throw new Error(`Compliance sync failed: HTTP ${res.status}`);
return res.json();
}
function calculateTranscriptionMetrics(transcriptData) {
const created = new Date(transcriptData.createdTimestamp).getTime();
const completed = new Date(transcriptData.completedTimestamp).getTime();
return {
processingLatencyMs: completed - created,
accuracyScore: transcriptData.quality?.confidence || 0,
wordCount: transcriptData.wordCount || 0,
speakerCount: transcriptData.speakerCount || 0
};
}
const app = express();
app.use(express.json());
app.post('/api/transcripts/search', async (req, res) => {
try {
const { query, limit = 10 } = req.body;
const token = await getAccessToken();
const searchPayload = { query: `transcript:"${query}"`, limit };
const searchRes = await fetch(`https://${authConfig.environment}/api/v2/search/recordings`, {
method: 'POST',
headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/json', 'Accept': 'application/json' },
body: JSON.stringify(searchPayload)
});
if (!searchRes.ok) throw new Error(`Search API failed: HTTP ${searchRes.status}`);
res.json(await searchRes.json());
} catch (error) { res.status(500).json({ error: error.message }); }
});
app.post('/api/transcripts/process', async (req, res) => {
try {
const { transcriptId, recordingId } = req.body;
let transcriptData;
try {
transcriptData = await pollTranscriptStatus(transcriptId);
} catch (pollError) {
console.error('Polling failed, attempting audio fallback.', pollError.message);
const audioBuffer = await fallbackToRawAudio(recordingId);
return res.status(202).json({ status: 'fallback_triggered', audioLength: audioBuffer.length });
}
const transcriptText = await streamTranscriptContent(transcriptId);
const metrics = calculateTranscriptionMetrics(transcriptData);
await syncToComplianceStorage(transcriptData, transcriptText);
res.json({ transcript: transcriptText, metrics, complianceSynced: true });
} catch (error) {
res.status(500).json({ error: error.message });
}
});
app.listen(3000, () => console.log('Transcript service running on port 3000'));
Common Errors & Debugging
Error: HTTP 401 Unauthorized
- Cause: The OAuth client credentials are invalid, the token expired, or the required scopes are missing.
- Fix: Verify
GENESYS_CLIENT_IDandGENESYS_CLIENT_SECRETin your environment. Ensure the client credentials includerecordings:view,recordings:read, andsearch:read. TheAuthorizationApiclass will throw a 401 error if the token generation fails. Catch the error and log the exact message from the response body. - Code Fix: Add explicit scope validation during initialization. Return a structured error response if
tokenResponse.body.access_tokenis undefined.
Error: HTTP 403 Forbidden
- Cause: The authenticated client lacks permission to view recordings or transcripts in the target organization or sub-organization.
- Fix: Check the Genesys Cloud Admin Console under Organization Management. Assign the client credentials to the appropriate user or group with Recording Viewer permissions. Verify the
environmentvariable matches the target organization domain.
Error: HTTP 429 Too Many Requests
- Cause: The polling loop or search requests exceed Genesys Cloud rate limits.
- Fix: The implementation already reads the
Retry-Afterheader and applies jittered exponential backoff. If 429 errors persist, increase thebaseDelayMsinpollTranscriptStatusand reduce the polling frequency. Implement a request queue to throttle concurrent API calls.
Error: HTTP 416 Range Not Satisfiable
- Cause: The
Rangeheader requests bytes outside the actual transcript size. - Fix: Verify the
Content-Rangeheader parsing logic. If the transcript size changes during streaming (rare but possible during async finalization), reset the offset to 0 and restart the stream. Add a maximum retry counter for range requests.
Error: Transcription Failed with Status failed
- Cause: Audio quality is too poor, unsupported codec, or internal speech-to-text service error.
- Fix: The system automatically triggers
fallbackToRawAudio. Log thefailureReasonfield from the transcript response. Implement a retry mechanism that re-submits the audio to Genesys Cloud transcription by callingPOST /api/v2/recordings/{recordingId}/transcriptswith updated parameters.