Fluen's transcription pipeline turns raw audio into clean, well-timed, properly formatted captions, so you can skip the tedious cleanup and go straight to review.
Most platforms lock you into one speech-to-text engine and hope for the best. Fluen benchmarks five leading engines regularly and sends each language to the one that handles it best.
ElevenLabs Scribe v2
Speechmatics
Deepgram Nova-3
AssemblyAI
OpenAI Whisper
Fluen tests ElevenLabs Scribe v2, Speechmatics, Deepgram Nova-3, AssemblyAI and OpenAI Whisper language by language, and repeats the benchmark regularly as the engines improve. On Auto, the default, each file goes to the current leader for its language. Want the same engine across a whole project? Pin one in Workspace Settings > Subtitle Defaults > Transcription engine.
The engines only turn speech into text. Splitting that text into well-timed, readable subtitles is always done in-house by Fluen, whichever engine did the listening.
Fluen supports over 50 languages. Set the source language at upload and the engines deliver their cleanest output for it.
For bilingual files, turn on multi-language mode and Fluen detects the switches automatically, transcribing each segment in the right language.
See all supported languagesFluen runs an industry-leading speaker recognition model alongside the transcription pipeline to detect every distinct voice in your file. Each subtitle is assigned to the right speaker automatically.
Speaker markers are off by default. Turn them on at upload, where you can also say how many people speak, or once as a workspace default in Subtitle Defaults: choose names, classic dashes, or none. Subtitle files show names in [Name] format; in the editor and in burned-in video, your caption style draws each name as a label.
The editor color-codes each speaker so you can rename or reassign them in seconds before you export.
Step-by-step: speaker labels, dashes, or noneRaw transcription engines output continuous text with arbitrary break points. Fluen's proprietary segmentation engine transforms that into clean, naturally paced subtitles. Each one breaks at a logical pause, never mid-phrase.
We enforce character-per-line limits and optimal reading speeds so viewers can comfortably follow along without feeling rushed. Lines break in natural places, words that belong together stay together, and subtitles with a lot of text stay on screen a little longer when there's a pause. The result is subtitles that feel professionally timed, because they are.
Most speech-to-text engines output lowercase text with no punctuation at all. That means someone has to go through every line adding periods, commas, and capital letters manually.
Fluen handles this automatically. Sentences begin with capitals, questions end with question marks, and commas land where they should. It sounds basic, but it's the difference between a rough draft and a production-ready subtitle file.
Natural speech is full of hesitations: "um", "uh", "you know", "like", "basically". They're fine in conversation, but distracting in subtitles and painful to read on screen.
Fluen detects and removes filler words automatically, producing cleaner subtitles that are easier to follow. The result reads polished and intentional, even when the original speech wasn't.
Two more places to go next, depending on what you ship.
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