AI subtitles & translation for series and film

It watches the whole film before it writes a word.

Glix reads every frame, shot, voice and character before it writes your subtitles. Transcription, translation, timing, QC and dubbing-ready scripts in 60 languages, at 98.3% accuracy.

Your first 30 minutes are free. No card needed.

A woman and a man in a tense conversation on a living-room couch
MAYA · F · ~30
DANIEL · M · ~40
SPEAKER Maya · female · ~30TO Daniel · male · ~40TONE hurt, sarcastic
00:14:06:02INT · living room · day

¿En serio me vas a dejar tirada? ¿Esta noche?

Spanish: Maya is a woman, so “dejar tirada” takes the feminine.

98.3%Accuracyacross series and film, in every genre
60Languages25 fully checked, 35 supported
95%Less working timevs. 10–30% with other AI tools
75KMinutes in under 7 dayssubtitled and delivered by one client

Why Glix

Most AI subtitles still need a full human pass. They translate the transcript and never see the picture. Glix translates the scene.

Who

Who is speaking, and to whom

Gendered verbs and formal “you” depend on people a transcript never shows. Glix maps every character by face and voice, so Hebrew, Spanish, French and German come out right.

What

What they actually mean

Slang, jargon, names and places are learned from the title itself, then written the way a native viewer would say them. Nothing is translated word for word.

When

When the shot cuts

Every shot change is detected, so subtitles start and end on the right frame and never flash across an edit.

Technology

It learns each title on the spot.

Other tools rely on patterns memorized from old training data, which is why their mistakes keep coming back. Glix builds a fresh understanding of every movie and episode it receives, and writes from that.

400+signals analyzed in every title,
before a single subtitle is written
Night street scene in Barcelona: Glix marks two characters, Daniel and Marta, reads the FARMACIA sign as Spanish on-screen text, and shows the shot strip with detected cuts
Four friends and a dog in a café. Glix labels each character with name, gender and age, and links them: Emma and Jack are a couple, Jack and Sophie are siblings, Sophie and Ryan are best friends
SOURCE · EN→RENDERING · ES
MAYAYou're seriously bailing on me?
SLANG · cancel plans
NURSEDr. Ruiz wants her in Trauma 2.
NAME · PLACE · keep
DR. RUIZPush one of epi, she's in V-fib!
MEDICAL · epinephrine
LEOVámonos, the cab's here.
SPANISH · mid-line switch
ENTranscript + subtitlesEnglish✓ ready
ESSubtitlesSpanish✓ ready
HESubtitlesHebrew✓ ready
FRSubtitlesFrench✓ ready
DBDubbing-ready scriptSpanish✓ ready
QCQC report3 lines to reviewopen
Voiceprint matchMaya, same voice as ep. 1
Overlap split2 clean subtitle lines
Off-screen voiceset in italics
Score, no lyricsnothing to subtitle
Glossary built38 terms learned from this title
Meaning, not words“bailing” → “dejar tirada”
Code-switch caughtEN → ES mid-line
SRT.srt
VTT.vtt
TTML.ttml
SCC.scc
STL.stl
+and many moreyour platform’s delivery spec

Same line. Different scene.

Customers

Teams stopped redoing the work. They started trusting it.

Global localization studio

500K+ minutes

Delivered in 4 months, by a 30-person QC team.

This volume used to take a 250-person pipeline. With Glix, the studio scaled its output instead of its headcount: a focused team of 30 reviews every title at 1.5× speed and finishes a one-hour episode in under an hour. The few edits they make are style choices, not corrections.

500K+minutes delivered
4months
250 to 30people on the pipeline

Snips · streaming platform

1,000 hours

7 languages. 5 days.

Snips ran 1,000 hours through Glix's latest model and delivered subtitles in 7 languages in 5 days.

“Glix changed what we can say yes to. We tried more than 24 companies and technologies, and they always saved just 10–30% of the work. Now we launch the whole catalog in seven languages at once. The truth is, we’ve dropped QC entirely: if the audience points out a problem, we fix it. Opening a new country is now a decision, not a project.”
Bar SarafCOO, Snips

Trusted by streaming platforms, studios and localization teams

Languages

Sixty languages. One workflow.

25 languages are fully checked at production quality. 35 more are supported and improve with every title.

Fully checked25 languages · verified at production quality
98.3%accuracy
    Supported35 languages · live and improving with every title
    91.6%accuracy

      Your next season, in 60 languages.

      Upload an episode and see what Glix writes for it. Your first 30 minutes are free.