diff --git a/bin/pycbc_inspiral b/bin/pycbc_inspiral
index 24193310714..568d03a8cc4 100644
--- a/bin/pycbc_inspiral
+++ b/bin/pycbc_inspiral
@@ -203,6 +203,10 @@ parser.add_argument("--multiprocessing-nprocesses", type=int,
                          "Used in conjunction with the option"
                          "--finalize-events-template-rate which should be set"
                          "to a multiple of the number of processes.")
+parser.add_argument("--associated-psd-output",
+                    help="(Optional) Write PSD to specified file in the format "
+                    "of calculate_psd output. --output-psd only saves psd of "
+                    "only one segment")
 
 # Add options groups
 psd.insert_psd_option_group(parser)
@@ -435,9 +439,32 @@ with ctx:
                                  maximal_value_dof=opt.autochi_max_valued_dof)
 
     logging.info("Overwhitening frequency-domain data segments")
-    for seg in segments:
+    if hasattr(opt, 'associated_psd_output') and opt.associated_psd_output:
+        logging.info("Saving PSDs for filter segments")
+        f = HFile(opt.associated_psd_output, 'w')
+        ifo = opt.channel_name[0:2]
+        psd_group = f.create_group(ifo + '/psds')
+        start, end = [], []
+
+    for inc, seg in enumerate(segments):
         seg /= seg.psd
 
+        if hasattr(opt, 'psd_output') and opt.psd_output:
+            key = str(inc)
+            start.append(int(seg.start))
+            end.append(int(seg.end))
+            psd_group.create_dataset(key, data=seg.psd, compression='gzip',
+                                 compression_opts=9, shuffle=True)
+            psd_group[key].attrs['epoch'] = int(seg.start)
+            psd_group[key].attrs['delta_f'] = seg.psd.delta_f
+
+    f[ifo + '/start_time'] = numpy.array(start, dtype=numpy.uint32)
+    f[ifo + '/end_time'] = numpy.array(end, dtype=numpy.uint32)
+    f.attrs['low_frequency_cutoff'] = opt.low_frequency_cutoff
+    f.attrs['dynamic_range_factor'] = pycbc.DYN_RANGE_FAC
+    f.close()
+
+
     logging.info("Read in template bank")
     bank = waveform.FilterBank(opt.bank_file, flen, delta_f,
         low_frequency_cutoff=None if opt.enable_bank_start_frequency else flow,