Kategori: Tool Guides

Tool lists describe features. Problems don’t arrive as features — they arrive as “my recording sounds bad” or “I need this in a different format”. This page maps problems to tools, in plain language.

“My recording has constant background noise — hum, fan, hiss.”

→ Background Noise Remover. Four strength levels; start at Normal. It removes steady noise floors, not one-off interruptions like a door slam. We measured what each level removes.

“My episodes come out quieter than other shows.”

→ Podcast Audio Studio. Normalizes loudness to a consistent target (Podcast, YouTube or Spotify), trims silence at the start and end, adds fades. Run it on every episode as the final mastering step. What LUFS and true peak mean.

“I need short clips from a long recording for social media.”

→ Social Media Clip Cutter. Finds high-energy moments and cuts them into ready 15-second clips. Review before posting — it finds loud moments, which are often but not always your best ones.

“This audio file is in the wrong format.”

→ Audio Format Converter for MP3, WAV, M4A, OGG and FLAC. Which format to pick, and why. For video files, see the video tools below.

“I want to turn written text into speech.”

→ Two steps: TTS Text Prep Studio first — free, runs in your browser, cleans the text and counts the characters — then AI Text to Speech to generate the audio, which shows you the price before you confirm. The full article-to-audio workflow.

“I want to turn speech into text.”

→ AI Speech to Text. Timed transcripts from audio or video, as plain text, SRT or VTT — for transcript pages, subtitles, or finding quotes in long recordings.

“I want an audiobook from a whole document.”

→ AI Audiobook Creator. Built for book-length PDFs and EPUBs rather than short passages, and it can give different characters different voices. What to check before and after.

“My video file is too big, or the wrong format, or too long.”

→ Three different problems with three different answers: Video Compressor, Video Format Converter, Video Cutter. How to tell which one you need.

“I need subtitles.”

→ AI Video Subtitle Generator to create them, AI Subtitle Translator to translate them, and SRT to VTT or VTT to SRT to deliver the right format. The three-step subtitle workflow.

“I have a PDF problem.”

→ Merging, splitting, compressing, converting, rotating or unlocking — the PDF toolkit map covers all eleven tools.

A note on order

If your situation involves several of these, the order that works: fix noise first, normalize loudness second, cut clips or convert formats last. Cleaning and loudness affect the whole file, so everything downstream inherits their result. The reasoning, with measurements.

Generating audio for a whole book is a different job from converting a paragraph. The AI Audiobook Creator takes a PDF or EPUB — up to 1,500 pages — and produces a narrated MP3 audiobook with AI voices. Because the input is long, preparation and review matter more than with any other audio tool. Here’s what to check at each end.

Before: the source file decides the result

EPUB is usually the better source. EPUB files carry real text and chapter structure. PDFs vary: a PDF made from a text document works well, but a PDF that is actually scanned page images contains no readable text — check by trying to select and copy a sentence. If you can’t, the file needs OCR before it can be narrated.

Strip what shouldn’t be read aloud. Page headers and footers, page numbers, footnotes, long tables and URLs all become noise when narrated. The cleaner the source, the fewer awkward moments in the audio.

Mind the front matter. A narrated copyright page and table of contents is a rough first minute for a listener. Consider starting the conversion from the introduction.

Choosing voices

A voice you like for one paragraph needs to hold up for hours. Listen to a longer sample before committing to a full book, and prefer clarity over character — a slightly plain voice ages better over ten chapters than a heavily stylized one.

The tool does more than read everything in one voice. It analyses the book to identify the narrator and the individual characters who speak, then assigns each of them a distinct voice, deliberately avoiding giving similar voices to two characters who appear in the same scene. For fiction with a lot of dialogue this is the difference between a readable audiobook and a confusing one — but it also means the character detection is worth reviewing before you commit to a long render.

After: spot-check like a proofreader

Nobody re-listens to a whole audiobook before publishing, and you don’t need to. Check the first minutes of several chapters, plus any section with unusual content — names, numbers, quoted dialogue, non-English words. These are where text-to-speech is most likely to stumble, and they cluster predictably.

A note on rights

Only convert documents you have the rights to: your own writing, public-domain works, or material whose licence permits it. Converting someone else’s book for personal listening and publishing the result are very different situations legally — when in doubt, don’t publish.

If your source is an article rather than a book, the workflow is shorter and cheaper — see turning blog posts into audio.

“The file is too big” has three different causes, and each has a different fix. Picking the right one saves both quality and time.

Cause 1: The video is simply heavy → compress it

Same video, same length, same format — you just need fewer megabytes. The Video Compressor re-encodes the video more efficiently, trading a controlled amount of visual quality for a much smaller file. This is the answer for “it won’t fit in the upload limit” and “it’s eating my storage”.

You choose a quality level (High, Medium or Low) and optionally scale the output down to 1080p, 720p or 480p, which is often the bigger win for screen recordings and talking-head footage. Uploads go up to 500 MB and 30 minutes.

Cause 2: The format is wrong → convert it

A platform or editor rejects the file outright: it wants MP4 and you have MKV, or you have a MOV from an iPhone that a Windows tool won’t open. The Video Format Converter converts between MP4, WebM, MOV, AVI and MKV, with uploads up to 500 MB.

Converting doesn’t primarily shrink the file — it changes the container so the file is accepted. Sometimes converting an old format to a modern one also reduces size as a side effect, but if size is your actual problem, compression is the direct answer.

Cause 3: You only need part of it → cut it

The recording is an hour, the useful part is four minutes. The Video Cutter trims the file to a time range without touching the rest. This is the highest-quality “size reduction” there is: the part you keep isn’t re-encoded harder, there’s just less of it.

Combining them

The common real-world chain: cut first (drop the dead footage), then compress (shrink what remains), and convert only if the destination demands a specific format. Cutting first also makes every later step faster, because the file entering it is smaller.

The same logic applies on the audio side, where the order matters for quality rather than speed — see our guide to audio formats for the convert-down-not-up rule.

PDF problems are small, specific and annoying precisely because you hit them five minutes before a deadline. Here’s the map of Bubixo’s PDF tools, organized by the situation you’re in — every tool listed is live on the site.

“Several PDFs need to be one document.”

→ Merge PDF. Contracts plus annexes, chapters into a manuscript, scans into one file.

“One PDF needs to be several.”

→ Split PDF to break a document apart, Extract PDF Pages to pull out just the pages you need, Delete PDF Pages to remove the ones you don’t.

“It’s too big to send.”

→ Compress PDF. Scanned documents compress especially well — scans are images, and images carry most of a PDF’s weight.

“I need to edit the text.”

→ PDF to Word, edit in your word processor, then Word to PDF to lock it back down for sending.

“I need pages as images, or images as a PDF.”

→ PDF to JPG for slides-as-images and previews; JPG to PDF to turn photographed pages into a shareable document.

“A page is sideways.”

→ Rotate PDF. Common with scans; fixes orientation permanently instead of relying on your viewer to remember.

“It asks for a password I legitimately have.”

→ Unlock PDF removes the password from a document you’re authorized to open, so you stop retyping it. It is not a tool for opening documents that aren’t yours.

Two habits that prevent PDF pain

Keep the editable original — the Word file, the export source. Converting back from PDF is always the lossier direction.

And when preparing a document that will be scanned, scan at a sensible resolution: extreme scan quality is the main reason PDFs end up needing compression at all.

If your document problem is actually a “I’d rather listen to this” problem, see turning a PDF or EPUB into an audiobook.

Subtitles involve three separate jobs that often get lumped together: creating them, translating them, and delivering them in the format a platform accepts. Each is one step here.

Step 1: Generate timed subtitles from the video

The AI Video Subtitle Generator listens to your video and produces subtitles with timings attached, which you can download as an SRT file — or, if you’d rather not deal with subtitle files at all, as a copy of your video with the subtitles burned in.

Auto-generated subtitles get the timing and most words right; plan one review pass for names, technical terms, and any place where two people talk at once — the predictable weak spots of every automatic system. Review is fastest now, in the original language, before any translation multiplies the text.

Step 2: Translate, keeping the timing

Translating subtitles is not just translating text: every line has a start time, an end time, and a length that has to stay readable. The AI Subtitle Translator takes SRT and VTT files and translates them while preserving their timing, so the translated line appears exactly when the original did. One source file can become as many language versions as you need.

Step 3: Deliver the format the platform wants

Two file formats dominate: SRT (the older, universally accepted one) and VTT (the web-native one used by HTML5 players and many web platforms). They contain the same essential information, so conversion is lossless and instant — SRT to VTT and VTT to SRT both exist as one-click tools. Keep one master format for editing and convert copies on the way out.

Already have the audio transcribed?

If you’ve run the episode or video through AI Speech to Text, you already have SRT and VTT exports of the same content — the same file serves as a transcript page and as a subtitle track.

Why bother with subtitle files at all when platforms auto-caption?

Control and portability. A subtitle file you generated and reviewed is correct once, everywhere you publish — auto-captions are regenerated by each platform, mistakes included, and can’t be fixed centrally. Subtitles also make the video watchable with the sound off and readable by search engines where the platform indexes them.

A blog post and an audio version of it are not the same text. Written articles are full of things that read fine and sound wrong: URLs, digits, parenthetical asides, bullet lists. If you feed an article straight into a text-to-speech engine, you pay to generate audio you’ll end up regenerating. Here’s the workflow that avoids that.

Step 1: Prepare the text (free, in your browser)

The TTS Text Prep Studio cleans a text for speech before any audio is generated. It converts numbers into words (English or Turkish), replaces URLs and e-mail addresses with markers, collapses repeated whitespace, turns line breaks into spaces, straightens curly quotes, normalises dashes, and optionally strips special characters while keeping ordinary punctuation. It also counts the characters, so you know the size of the job before you start.

It runs entirely in your browser — the text is never sent to a server at this stage.

One deliberate omission worth knowing about: it shows you character and request counts, not a price in currency. Text-to-speech is billed per character and every plan converts that differently, so a made-up money figure here would be worse than no figure at all.

Step 2: See the cost before you generate

Generation is priced by text length. The AI Text to Speech tool shows the character count and the resulting price for your exact text before you confirm anything — no surprises after the fact. This is also why step 1 matters: cleaning the text first means you only pay for words that belong in the audio.

Step 3: Pick the voice before committing to a long text

Voices that sound similar in a one-line demo diverge over ten minutes of listening. Generate a short passage with a few different voices and choose by ear, using one paragraph of your article rather than the whole thing.

Our AI Text Translator & Voice Compare tool is built for exactly this side-by-side comparison. Be aware of one limitation before you click: its interface is currently in Turkish only, though the voices it previews are not.

Step 4: Generate, then spot-check

Generate the full article, then listen to the beginning, one section from the middle, and the end. The most common issues are pronunciation of names and technical terms — if one matters to your content, consider rewording it or spelling it phonetically in the source text and regenerating just that section.

What to expect honestly

An audio version does not automatically create an audience — it gives the audience you already have another way to consume the same content, and it makes your articles accessible to people who can’t or don’t read on screen. Publish a few, see whether your readers use them, and decide from your own data whether to continue. That’s a cheap experiment precisely because the preparation step is free and the generation cost is visible up front.

If your source is a whole book rather than an article, that’s a different job with different preparation — see turning a PDF or EPUB into an audiobook.