[{"data":1,"prerenderedAt":15},["ShallowReactive",2],{"sonix\u002Fen":3},{"html":4,"anchors":5},"\u003Ch2 id=\"workflow\">Choose around the work you need\u003C\u002Fh2>\n\u003Cp>SubFT is a useful starting point when you want to edit and deliver subtitle files: the workspace is free, with paid AI available for transcription, translation and text recognition from graphical subtitle tracks. Sonix is worth considering when a readable, shareable transcript is central to the job, especially when several people need to work with it [2].\u003C\u002Fp>\n\u003Cp>Both tools can turn speech into text, translate it and produce subtitles. The useful differences are in how you get from your source to the result, what you send for processing and how you pay.\u003C\u002Fp>\n\u003Ctable tabindex=\"0\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Task\u003C\u002Fth>\n\u003Cth>SubFT\u003C\u002Fth>\n\u003Cth>Sonix\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>Edit\u003C\u002Ftd>\n\u003Ctd>Free text and timing edits\u003C\u002Ftd>\n\u003Ctd>SRT import and alignment [4]\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Create\u003C\u002Ftd>\n\u003Ctd>Subtitle document\u003C\u002Ftd>\n\u003Ctd>Transcript split into subtitles [5]\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Deliver\u003C\u002Ftd>\n\u003Ctd>SRT, WebVTT, ASS\u003C\u002Ftd>\n\u003Ctd>Transcript links; DOCX, PDF, TXT [2]\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Ch2 id=\"existing-subtitles\">Correct an existing subtitle file\u003C\u002Fh2>\n\u003Cp>Suppose you already have an interview's SRT file, but a name is misspelled and two subtitles overlap. In SubFT, import the file, correct the text and adjust the cue times, then export the saved document. This needs no paid AI operation. Stored subtitle text can be edited without the recording; checking synchronization needs the connected media. The \u003Ca href=\"\u002Fen\u002Fdocs\u002Feditor\">editor guide\u003C\u002Fa> explains the timing controls.\u003C\u002Fp>\n\u003Cp>Sonix also edits existing subtitles. Its documented SRT workflow uploads the associated audio or video, then imports and aligns the subtitle text. The import screen shows the charge before you proceed [4]. Existing subtitles therefore do not automatically mean that either tool needs to transcribe the recording again.\u003C\u002Fp>\n\u003Cp>SubFT supports SRT, WebVTT and ASS, but some original ASS styling may be lost during editing and export. Sonix documents SRT and VTT subtitle exports [2]. Choose the \u003Ca href=\"\u002Fen\u002Farticles\u002Fchoosing-a-subtitle-format\">format your destination accepts\u003C\u002Fa>, rather than assuming that a file extension guarantees the appearance you want.\u003C\u002Fp>\n\u003Ch2 id=\"recording\">Create subtitles from a recording\u003C\u002Fh2>\n\u003Cp>For an interview without subtitles, SubFT prepares audio from the recording in your browser and uploads that audio for transcription. Select the spoken language for same-language subtitles; a different target language adds translation. The plan shows the required operations and credits before launch. Open the resulting subtitle document, review it against playback and export it. See \u003Ca href=\"\u002Fen\u002Fdocs\u002Fgenerate-subtitles-from-recording\">generating subtitles from a recording\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>In Sonix, upload a recording and review the transcript, then split it into subtitles. Its subtitle settings include lines, characters and duration, and you can adjust start and end times before exporting SRT or VTT [5]. Both workflows still need a human review of names, meaning and timing; a generated draft is the beginning of that work.\u003C\u002Fp>\n\u003Cp>If you already have subtitle text, SubFT can translate that saved document without transcribing the audio. It can also recognize text in supported graphical subtitle tracks, such as PGS or VobSub, with translation when needed. This recognition reads subtitle images in a track; it does not extract captions burned into the video picture. The \u003Ca href=\"\u002Fen\u002Fdocs\u002Ffile-support\">file-support guide\u003C\u002Fa> lists the source requirements.\u003C\u002Fp>\n\u003Ch2 id=\"transcript\">Share a transcript with other people\u003C\u002Fh2>\n\u003Cp>For a researcher handing an interview to a colleague, a transcript link or Word document may be more useful than a timed subtitle file. Sonix supports shareable transcript links and document exports. Its team plans also offer shared folders and permissions [2]. Check which plan includes the collaboration you need.\u003C\u002Fp>\n\u003Cp>SubFT's workflow centres on reviewing subtitle documents and delivering subtitle files. If the recipient needs captions for a video player, that can be sufficient. If they need to read, comment on or manage transcripts together, evaluate Sonix's sharing workflow directly.\u003C\u002Fp>\n\u003Ch2 id=\"uploads\">Keep the video local and understand what is stored\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>SubFT stores project and subtitle data in Europe.\u003C\u002Fstrong> Its \u003Ca href=\"\u002Fen\u002Fprivacy\">privacy policy\u003C\u002Fa> lists hosting and database services in Germany, EU storage for uploaded AI inputs and AI processing within the EU.\u003C\u002Fp>\n\u003Cp>You do not need to upload a large original video to work on its subtitles. The recording stays on your device. For transcription, SubFT sends the audio prepared in your browser; for graphical text recognition, it sends the required subtitle track or file. Translation uses subtitle text already saved on the server and needs no media-file upload. This avoids transferring the complete video just to process its speech, although long recordings can still produce substantial audio uploads.\u003C\u002Fp>\n\u003Cfigure>\u003Cimg src=\"\u002Farticle-assets\u002Fcomparison-upload-en.svg\" alt=\"A local video supplies prepared audio to EU processing, and the resulting subtitles return to the editor for review\" width=\"1200\" height=\"840\" loading=\"lazy\">\u003Cfigcaption>SubFT transcription: the original video stays on your device; prepared audio is uploaded for processing, and the subtitle result is saved for review.\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\u003Cp>Project information, subtitle text, edits and small video poster thumbnails are stored on the server. With an account, importing files can also send short subtitle excerpts and short audio samples for language detection. Keep the tab open until any required source preparation and upload finish. The \u003Ca href=\"\u002Fen\u002Fdocs\u002Fprojects\">project guide\u003C\u002Fa> explains the local-file connection.\u003C\u002Fp>\n\u003Ch2 id=\"billing\">Compare the cost of the same job\u003C\u002Fh2>\n\u003Cp>Take \u003Cstrong>one 60-minute recording\u003C\u002Fstrong>, transcribed into its spoken language and downloaded as SRT. This example excludes translation, burned-in video, trial allowances and human review time.\u003C\u002Fp>\n\u003Ctable tabindex=\"0\">\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Service\u003C\u002Fth>\n\u003Cth>Usage cost for this example\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd>SubFT\u003C\u002Ftd>\n\u003Ctd>180 credits, equivalent to \u003Cstrong>€1.80\u003C\u002Fstrong>\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Sonix\u003C\u002Ftd>\n\u003Ctd>\u003Cstrong>USD 10.00\u003C\u002Fstrong>, pay-as-you-go [1]\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp>The SubFT estimate uses the 500-credit pack for €5: 60 minutes × 3 credits consumes 180 credits. If your balance is empty, buying that pack leaves 320 credits after this job. The €1.80 is the value consumed, rather than a separate €1.80 purchase. Editing and exporting add no AI charge.\u003C\u002Fp>\n\u003Cp>SubFT bills started minutes and applies a five-credit minimum to each required operation per item. Translation and graphical text recognition are separate operations when the source requires them. Other credit packs change the price per credit; the \u003Ca href=\"\u002Fen\u002Fpricing#estimator\">pricing estimator\u003C\u002Fa> covers your actual source and language choices.\u003C\u002Fp>\n\u003Cp>Sonix prorates usage to the second [3]. Its subscriptions include usage allowances, so recurring work needs a comparison of the subscription fee, included hours, additional usage and any extra seats [1][2]. The example above uses pay-as-you-go, not a subscription's effective hourly cost.\u003C\u002Fp>\n\u003Cp>SubFT amounts are in euros and Sonix amounts in US dollars. Taxes and the selected pack or plan can change what you pay; check the purchase total before buying.\u003C\u002Fp>\n\u003Ch2 id=\"other-choice\">When Sonix is the better choice\u003C\u002Fh2>\n\u003Cp>Choose Sonix when your main deliverable is a transcript people need to read or share, and its document exports, transcript links or team features fit that handoff. Its transcript-to-subtitle controls are also useful when you want to prepare both outputs from the same recording [2][5].\u003C\u002Fp>\n\u003Ch2 id=\"subft-choice\">When SubFT is the better choice\u003C\u002Fh2>\n\u003Cp>Choose SubFT when you mainly need to correct and deliver subtitle files, with optional AI paid through credits. Free editing, European storage and processing, and keeping the original video on your device are useful when you want to work on existing tracks or avoid uploading large video files.\u003C\u002Fp>\n\u003Ch2 id=\"method\">Method\u003C\u002Fh2>\n\u003Cp>This comparison is published by SubFT and is based on product documentation and the primary sources below, checked on the Reviewed date. It is not an accuracy or speed benchmark; no paid job or purchase was run. \u003Ca href=\"\u002Fen\u002Farticles\u002Freviewing-subtitles-before-export\">Review the subtitles\u003C\u002Fa> and check the exported file in its intended player before delivery.\u003C\u002Fp>\n",[6,7,8,9,10,11,12,13,14],"workflow","existing-subtitles","recording","transcript","uploads","billing","other-choice","subft-choice","method",1793363839337]