Generate Accurate Subtitles for Turkish Videos

Frequently Asked Questions

• Where can I check pricing and available trial credits?

  Check the current Pricing page and your account balance before submitting a task. Available trial credits, paid options, and the cost shown for your selected workflow should guide your decision. Review the task settings and displayed estimate before confirming; this guide does not promise a fixed free allowance or a specific price.

• How should OCR handle Turkish dotted and dotless letters?

  Turkish OCR must distinguish the dotted and dotless forms of both uppercase and lowercase i. Automatic case conversion can otherwise introduce spelling errors, especially in names, labels, and title cards. Review recognized text in its displayed case, compare uncertain letters with the video frame, and correct any form that does not match the original Turkish text.

• How should Turkish suffixes be checked after recognition?

  Turkish suffix spelling changes through vowel harmony, so a transcript may capture the base word while choosing an incorrect ending. Listen to the full phrase and check whether the suffix fits both the word and the intended meaning. Pay particular attention to rapid dialogue, where neighboring sounds can make the ending harder for speech recognition to distinguish.

• Where do apostrophes belong in Turkish proper names?

  In Turkish writing, an apostrophe can separate a proper name from an inflectional ending. Generated subtitles may omit or misplace this mark because speech does not reveal punctuation directly. Review personal names, place names, and organization names, then verify that each attached suffix and apostrophe follow the intended Turkish form instead of relying only on the recognized transcript.

• Do I need professional video editing experience?

  Start by choosing a video and the appropriate subtitle workflow. You do not need to prepare a full editing project, but you should review recognized wording, names, timing, and line breaks before publishing. Specialized dialogue may need a knowledgeable reviewer, especially when a small transcription error changes the meaning.

• Should visible Turkish text use OCR or speech recognition?

  Use OCR for Turkish text already visible in frames, including title cards, signs, and burned-in captions. Use speech recognition for spoken dialogue. When both appear together, review them as separate sources so visible wording is not confused with speech. This also makes it easier to compare names and terminology that occur in both the image and audio.

• How can Turkish subtitle timing be reviewed?

  Compare every subtitle with the actual beginning and end of the spoken phrase rather than relying only on generated boundaries. Longer Turkish word forms can make a correctly recognized line difficult to read within a short display window. Adjust timing alongside the text layout, then replay fast exchanges and pauses to confirm that subtitles follow the dialogue without covering unrelated speech.

• Where should line breaks fall in Turkish subtitles?

  Place line breaks at natural phrase boundaries and avoid separating a word from its suffix. Keep proper names and their attached endings visually coherent where the layout allows. For long Turkish sentences, shorten or rebalance the lines without changing meaning, then inspect the subtitle on the video to ensure each line is easy to scan during its displayed interval.

• Should Turkish subtitles be hardcoded or external?

  Choose hardcoded subtitles when the Turkish text needs to remain part of the video image. Choose external subtitles when the delivery workflow requires a separate subtitle track or file. Before downloading, verify that the chosen output preserves timing, line breaks, apostrophes, and dotted or dotless letter distinctions, since these details can affect readability and Turkish spelling.

• How should Turkish names and terminology be reviewed?

  Create a reference list for recurring personal names, place names, organizations, and specialized terms before the final review. Compare each generated occurrence with that list and with any visible text captured through OCR. Also check suffixes attached to names, because recognition may produce inconsistent spellings across scenes even when the same speaker or subject is being discussed.

• What should I check before uploading private or licensed footage?

  Use footage you are entitled to process and check the current privacy policy and service terms before uploading sensitive material. For client projects, confirm that the agreed handling of faces, voices, personal details, and licensed media permits this workflow. Ask support about any specific retention or processing requirement rather than assuming a promise from this guide.