diff --git a/DeepSpeech.py b/DeepSpeech.py
index 7f0bf7b3..ba43d385 100755
--- a/DeepSpeech.py
+++ b/DeepSpeech.py
@@ -896,7 +896,9 @@ def do_single_file_inference(input_file_path):
                             Config.alphabet)
         else:
             scorer = None
-        decoded = ctc_beam_search_decoder(logits, Config.alphabet, FLAGS.beam_width, scorer=scorer)
+        decoded = ctc_beam_search_decoder(logits, Config.alphabet, FLAGS.beam_width,
+                                          scorer=scorer, cutoff_prob=FLAGS.cutoff_prob,
+                                          cutoff_top_n=FLAGS.cutoff_top_n)
         # Print highest probability result
         print(decoded[0][1])
 
diff --git a/evaluate.py b/evaluate.py
index e511c8b6..ac59c034 100755
--- a/evaluate.py
+++ b/evaluate.py
@@ -116,7 +116,8 @@ def evaluate(test_csvs, create_model, try_loading):
                     break
 
                 decoded = ctc_beam_search_decoder_batch(batch_logits, batch_lengths, Config.alphabet, FLAGS.beam_width,
-                                                        num_processes=num_processes, scorer=scorer)
+                                                        num_processes=num_processes, scorer=scorer,
+                                                        cutoff_prob=FLAGS.cutoff_prob, cutoff_top_n=FLAGS.cutoff_top_n)
                 predictions.extend(d[0][1] for d in decoded)
                 ground_truths.extend(sparse_tensor_value_to_texts(batch_transcripts, Config.alphabet))
                 wav_filenames.extend(wav_filename.decode('UTF-8') for wav_filename in batch_wav_filenames)
diff --git a/util/flags.py b/util/flags.py
index e5b3afdd..3d59f831 100644
--- a/util/flags.py
+++ b/util/flags.py
@@ -138,6 +138,8 @@ def create_flags():
     f.DEFINE_integer('beam_width', 1024, 'beam width used in the CTC decoder when building candidate transcriptions')
     f.DEFINE_float('lm_alpha', 0.75, 'the alpha hyperparameter of the CTC decoder. Language Model weight.')
     f.DEFINE_float('lm_beta', 1.85, 'the beta hyperparameter of the CTC decoder. Word insertion weight.')
+    f.DEFINE_float('cutoff_prob', 1.0, 'only consider characters until this probability mass is reached. 1.0 = disabled.')
+    f.DEFINE_integer('cutoff_top_n', 300, 'only process this number of characters sorted by probability mass for each time step. If bigger than alphabet size, disabled.')
 
     # Inference mode