Accuracy

How accurate is FileToText?

Instead of asking you to trust a marketing number, we measure it. We run our engine over public speech datasets with human reference transcripts, score the word error rate, and publish the results by recording condition. We re-run it monthly so it never goes stale.

Last run August 2026. Engine: ElevenLabs Scribe v2.

Accuracy by condition

Accuracy is highest on clean speech and drops on noise and crosstalk, we publish the hard rows too, because that is what makes the clean-audio number believable.

ConditionDatasetAccuracyWER
accentsCommon Voice94.3%5.7%
cleanLibriSpeech test-clean98.5%1.5%
harder audioLibriSpeech test-other97.1%2.9%
multi-speakerAMI85.5%14.5%
talksVoxPopuli92.7%7.3%

Overall accuracy across the set: 93.4% (WER 6.6%).

How we measure it

Word Error Rate (WER) is the standard way to score a transcript: the share of words that are substituted, inserted, or deleted versus a correct reference transcript. Accuracy is simply 100% minus the WER. Lower WER is better.

The test set

We use recognized public speech datasets, each with a human-verified reference transcript, so the test is reproducible and covers a range of real conditions:

  • Common Voice (CC0)
  • LibriSpeech test-clean (CC BY 4.0)
  • LibriSpeech test-other (CC BY 4.0)
  • AMI (CC BY 4.0)
  • VoxPopuli (CC0)

The scoring

Before scoring, both the reference and our transcript are put through the standard Whisper EnglishTextNormalizer, audio event tags removed (lowercasing, punctuation and number normalization) so we score real recognition errors, not formatting differences. The edit distance is computed with jiwer, the standard open-source WER tool. The engine under test is ElevenLabs Scribe v2. Everything here is reproducible: same datasets, same normalizer, same tool.

What this means for your files

Clean, single-speaker audio transcribes at very high accuracy. Noise, heavy accents, and several people talking at once are harder, for every engine. That is why the editor shows a per-word confidence view that flags the words worth a second look, so you know exactly where to spend a quick review instead of re-reading the whole thing. Try it on your own audio, the first 10 minutes of any file are free.

Test it on your fileWorking from a specific format? See audio to text or video to text.