How to Read Render Job Status with the DaVinci Resolve Python API
Use GetRenderJobStatus, JobStatus, and progress data to verify an export result
Read a Render Job by ID during and after rendering, normalize the status response, and distinguish completed, failed, or unavailable states without checking the Deliver page manually.
API
Resolve Scripting API
Language
Python
Resolve
19–20+
Requires
Running Resolve
Syntax
status = project.GetRenderJobStatus(job_id)Parameters
- • The relevant arguments are shown in the complete working example below. Validate paths, object types, and required project state before calling the API method.
Returns
Always validate the returned object, list, identifier, or boolean before continuing to the next automation step.
import os
import sys
import time
from pathlib import Path
def import_resolve_module():
try:
import DaVinciResolveScript as dvr
return dvr
except ImportError:
search_paths = [
os.environ.get("RESOLVE_SCRIPT_API", ""),
os.environ.get("RESOLVE_MODULES", ""),
r"C:\ProgramData\Blackmagic Design\DaVinci Resolve\Support\Developer\Scripting\Modules",
"/opt/resolve/Developer/Scripting/Modules",
"/opt/BlackmagicDesign/DaVinciResolve/Developer/Scripting/Modules",
"/Library/Application Support/Blackmagic Design/DaVinci Resolve/Developer/Scripting/Modules",
str(Path.home() / "Library/Application Support/Blackmagic Design/DaVinci Resolve/Developer/Scripting/Modules"),
]
for path in search_paths:
if path and os.path.isdir(path) and path not in sys.path:
sys.path.append(path)
import DaVinciResolveScript as dvr
return dvr
def safe_call(obj, name, *args, **kwargs):
try:
fn = getattr(obj, name, None)
if callable(fn):
return fn(*args, **kwargs)
except Exception:
return None
return None
def get_project_and_timeline():
dvr = import_resolve_module()
resolve = dvr.scriptapp("Resolve")
if not resolve:
raise RuntimeError("DaVinci Resolve API is unavailable")
project_manager = safe_call(resolve, "GetProjectManager")
project = safe_call(project_manager, "GetCurrentProject") if project_manager else None
if not project:
raise RuntimeError("No DaVinci Resolve project is open")
timeline = safe_call(project, "GetCurrentTimeline")
if not timeline:
raise RuntimeError("No active Timeline")
return resolve, project, timeline
def get_render_status(project, job_id):
status = safe_call(project, "GetRenderJobStatus", job_id) or {}
if isinstance(status, dict):
return {
"job_id": str(job_id),
"job_status": str(status.get("JobStatus", "")),
"completion": status.get("CompletionPercentage", status.get("Completion", "")),
"raw": status,
}
return {"job_id": str(job_id), "job_status": str(status), "completion": "", "raw": status}
resolve, project, timeline = get_project_and_timeline()
job_id = safe_call(project, "AddRenderJob")
if not job_id:
raise RuntimeError("Render Job was not created")
safe_call(project, "StartRendering", [job_id])
while safe_call(project, "IsRenderingInProgress"):
print(get_render_status(project, job_id))
time.sleep(1.0)
print("Final:", get_render_status(project, job_id))
Guide
What the example does
The script creates and starts a Render Job, then periodically queries GetRenderJobStatus while Resolve is rendering. After the export stops, it reads and prints the final status response.
Why status parsing is wrapped in a helper
The exact response dictionary can vary across Resolve versions. A small wrapper can extract common fields such as JobStatus and completion percentage while preserving the raw response for diagnostics.
How to validate the result
After rendering, check for a completed status and then verify that the expected output file actually exists. A stopped render process by itself is not proof that a valid delivery file was produced.
How the example works
Connect to Resolve
Establish a Resolve Scripting API connection and stop early if the application object is unavailable.
Validate the current context
Check the active project, Timeline, Media Pool, source paths, or Render Queue state required by this specific operation.
Run the core API operation
Execute the operation demonstrated in this guide: how to read render job status with the davinci resolve python api.
Validate the result
Check the returned value before the workflow continues. Resolve methods often signal an unavailable object or failed operation with None, False, or an empty result.
Resolve API notes
- GetRenderJobStatus() requires the correct current job ID.
- IsRenderingInProgress() is convenient for the wait loop, while GetRenderJobStatus() provides job-specific details.
- The status dictionary shape can vary between Resolve versions.
- Validate both the reported status and the resulting output file.
Common errors
Resolve API is unavailable
Reason: Resolve is closed or Python cannot import/use DaVinciResolveScript.
Fix: Start Resolve and verify the Developer/Scripting/Modules path from the same Python interpreter used by the script.
The method returns None or False
Reason: A required project, Timeline, clip, preset, path, or application state is missing.
Fix: Validate each input and add explicit result checks after important Resolve API calls.
The script only works on one workstation
Reason: Paths or environment assumptions are hard-coded for a single operating system or machine.
Fix: Move paths into configuration and support the required Windows, Linux, and macOS locations explicitly.
Next step
Continue only after the current operation has returned the expected Resolve object or result.
Related API guides
Render
How to Wait for a Render to Finish with the DaVinci Resolve Python API
Keep a Python automation process alive until Resolve finishes rendering, poll at a reasonable interval, then read the final job status and verify the output file.
Render
How to Create a Render Job with the DaVinci Resolve Python API
Follow the correct Render Queue order: choose or load a preset, apply the final Render Settings and range, create the job, and retain the returned job ID for safe targeted execution.
Render
A Complete DaVinci Resolve Render Pipeline with the Python API
Combine the core Resolve render calls into one end-to-end workflow: prepare the active project, configure delivery, create one Render Job, launch it safely, wait for completion, and return the finished file path.

