diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..129ed5a
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,17 @@
+data/
+models/
+pg_data/
+.git
+.venv
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+build/
+dist/
+*.egg-info
+.pytest_cache/
+env/
+venv/
+Dockerfile.api
+docker-compose.override.yml
\ No newline at end of file
diff --git a/.env b/.env
new file mode 100644
index 0000000..985a1e7
--- /dev/null
+++ b/.env
@@ -0,0 +1,5 @@
+# Настройки базы данных
+DB_USER=postgres
+DB_PASS=secretpassword
+DB_NAME=test_db
+DB_PORT=5432
diff --git a/.gitignore b/.gitignore
index 745e817..ec965e2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,4 @@
-.env
+
 .venv
 __pycache__/
 *.pyc
@@ -32,4 +32,9 @@ coverage.xml
 *.cover
 *.mp3
 /pg_data
-/data
\ No newline at end of file
+/data
+./models
+models/
+models/*
+models
+/models
\ No newline at end of file
diff --git a/Dockerfile.api b/Dockerfile.api
index 85f3a3d..ec5f441 100644
--- a/Dockerfile.api
+++ b/Dockerfile.api
@@ -1,20 +1,36 @@
 # syntax=docker/dockerfile:1.5
-FROM python:3.14-slim AS base
 
+# Builder: install build deps and build wheels
+FROM python:3.14-slim AS builder
 WORKDIR /app
 
-# Устанавливаем системные зависимости
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    aria2 \
-    ca-certificates \
     build-essential \
+    ca-certificates \
     && rm -rf /var/lib/apt/lists/*
 
-# Копируем requirements и устанавливаем все Python-зависимости (по умолчанию все нужны)
-COPY requirements.txt .
+COPY requirements.txt ./
+# Build wheels into /wheels (use cache for pip downloads)
 RUN --mount=type=cache,target=/root/.cache/pip \
-    pip install --no-cache-dir -r requirements.txt
+    pip wheel --no-cache-dir -r requirements.txt -w /wheels
 
+
+# Final image: small and without build tools
+FROM python:3.14-slim AS final
+WORKDIR /app
+
+# minimal runtime deps
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ca-certificates \
+    aria2 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy wheels from builder and install
+COPY --from=builder /wheels /wheels
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install --no-cache-dir /wheels/* || pip install --no-cache-dir /wheels/* --no-deps
+
+# Copy application code (exclude models/data via .dockerignore)
 COPY . ./api
 
 CMD ["python", "-m", "uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]
\ No newline at end of file
diff --git a/api/lib/audio_processing.py b/api/lib/audio_processing.py
new file mode 100644
index 0000000..8dc4dbd
--- /dev/null
+++ b/api/lib/audio_processing.py
@@ -0,0 +1,100 @@
+from pathlib import Path
+import os
+import sys
+import threading
+import logging
+import wave
+import json
+import subprocess
+import shutil
+
+try:
+    from vosk import Model, KaldiRecognizer
+except Exception:
+    Model = None
+    KaldiRecognizer = None
+
+
+class FFmpegConverter:
+    """Utility to convert audio files using ffmpeg."""
+
+    @staticmethod
+    def convert_mp3_to_wav(src: Path, dest: Path) -> None:
+        cmd = [
+            "ffmpeg",
+            "-y",
+            "-i",
+            str(src),
+            "-ac",
+            "1",
+            "-ar",
+            "16000",
+            "-vn",
+            "-f",
+            "wav",
+            str(dest),
+        ]
+        subprocess.run(cmd, check=True)
+
+
+class VoskModelManager:
+    """Loads a Vosk model and provides transcription methods.
+
+    Loading captures model stderr into Python logs to show progress.
+    """
+
+    def __init__(self, model_path: Path):
+        self.logger = logging.getLogger("vosk.model_manager")
+        if Model is None or KaldiRecognizer is None:
+            raise RuntimeError("vosk is not installed in runtime")
+        self.model = self._load_model_with_progress(model_path)
+
+    def _load_model_with_progress(self, path: Path):
+        logger = logging.getLogger("vosk.loader")
+        r_fd, w_fd = os.pipe()
+        saved_stderr_fd = os.dup(sys.stderr.fileno())
+        os.dup2(w_fd, sys.stderr.fileno())
+
+        def _reader(fd):
+            with os.fdopen(fd, "rb") as fh:
+                for raw in iter(fh.readline, b""):
+                    try:
+                        logger.info(raw.decode(errors="ignore").rstrip())
+                    except Exception:
+                        pass
+
+        reader_thread = threading.Thread(target=_reader, args=(r_fd,), daemon=True)
+        reader_thread.start()
+
+        try:
+            model = Model(str(path))
+        finally:
+            try:
+                os.dup2(saved_stderr_fd, sys.stderr.fileno())
+            except Exception:
+                pass
+            try:
+                os.close(saved_stderr_fd)
+            except Exception:
+                pass
+            reader_thread.join(timeout=2)
+
+        return model
+
+    def transcribe_wav(self, wav_path: Path) -> str:
+        if not wav_path.exists():
+            raise FileNotFoundError(wav_path)
+        try:
+            with wave.open(str(wav_path), "rb") as wf:
+                if wf.getnchannels() != 1:
+                    raise ValueError("Audio must be mono (1 channel)")
+                recognizer = KaldiRecognizer(self.model, wf.getframerate())
+                while True:
+                    data = wf.readframes(4000)
+                    if not data:
+                        break
+                    recognizer.AcceptWaveform(data)
+                result = json.loads(recognizer.FinalResult())
+                return result.get("text", "")
+        except wave.Error as e:
+            raise ValueError(f"Invalid WAV file: {e}")
diff --git a/api/main.py b/api/main.py
index 9a2c1ab..45f826b 100644
--- a/api/main.py
+++ b/api/main.py
@@ -1,7 +1,7 @@
 import asyncio
 from fastapi import FastAPI
 from api.route import default, subscription
-from api.route import users, installing, convert_from_mp3
+from api.route import users, installing, convert_from_mp3, convert_mp3_to_text
 #from api.db.subscription import init_db
 #from api.db.connection import wait_for_db
 
@@ -17,3 +17,4 @@ app.include_router(default.router)
 #app.include_router(users.router)
 app.include_router(installing.router)
 app.include_router(convert_from_mp3.router)
+app.include_router(convert_mp3_to_text.router)
diff --git a/api/route/convert_from_mp3.py b/api/route/convert_from_mp3.py
index fe95521..86e4c47 100644
--- a/api/route/convert_from_mp3.py
+++ b/api/route/convert_from_mp3.py
@@ -6,6 +6,9 @@ from pathlib import Path
 import uuid
 from typing import List
 import asyncio
+import subprocess
+import shutil
+import uuid
 # moviepy is imported lazily inside the conversion function to avoid
 # failing module import at application startup when the package is missing.
 
@@ -85,4 +88,98 @@ async def video_to_mp3(req: VideoToMp3Request):
     return FileResponse(str(dest), filename=dest.name, media_type="audio/mpeg")
 
 
+# Convert an existing MP3 (in data/audio) to WAV and run transcription
+class Mp3ToTextRequest(BaseModel):
+    filename: str
+    model_path: str
+
+
+def _run_ffmpeg(src: Path, dest: Path):
+    # produce mono 16k WAV suitable for Vosk
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-i",
+        str(src),
+        "-ac",
+        "1",
+        "-ar",
+        "16000",
+        "-vn",
+        "-f",
+        "wav",
+        str(dest),
+    ]
+    subprocess.run(cmd, check=True)
+
+
+@router.post("/mp3-to-text")
+async def mp3_to_text(req: Mp3ToTextRequest):
+    logger = __import__("logging").getLogger("convert.mp3-to-text")
+    try:
+        if shutil.which("ffmpeg") is None:
+            raise HTTPException(status_code=503, detail="ffmpeg is not available in the runtime. Install ffmpeg in the environment/container.")
+    except Exception:
+        raise HTTPException(status_code=503, detail="ffmpeg is not available in the runtime. Install ffmpeg in the environment/container.")
+
+    data_dir = Path(__file__).resolve().parent.parent.parent / "data"
+    audio_dir = data_dir / "audio"
+    src = (audio_dir / req.filename).resolve()
+    try:
+        src.relative_to(audio_dir)
+    except Exception:
+        raise HTTPException(status_code=400, detail="Invalid filename")
+    if not src.exists() or not src.is_file():
+        raise HTTPException(status_code=404, detail="Source file not found")
+
+    audio_dir.mkdir(parents=True, exist_ok=True)
+    dest = audio_dir / f"{src.stem}_{uuid.uuid4().hex}.wav"
+
+    try:
+        logger.info("Starting ffmpeg conversion %s -> %s", src.name, dest.name)
+        await asyncio.get_running_loop().run_in_executor(None, _run_ffmpeg, src, dest)
+        logger.info("ffmpeg conversion finished")
+    except subprocess.CalledProcessError as e:
+        raise HTTPException(status_code=500, detail=f"ffmpeg conversion failed: {e}")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"conversion failed: {e}")
+
+    # Use class-based transcriber
+    try:
+        from api.lib.audio_processing import VoskModelManager
+    except Exception as e:
+        try:
+            dest.unlink()
+        except Exception:
+            pass
+        raise HTTPException(status_code=500, detail=f"Internal import error: {e}")
+
+    try:
+        logger.info("Starting transcription stage for %s", dest.name)
+        # Resolve model path (relative to project root or absolute) and ensure it's inside ./models
+        project_root = Path(__file__).resolve().parent.parent.parent
+        models_dir = project_root / "models"
+        model_path = Path(req.model_path)
+        if not model_path.is_absolute():
+            model_path = project_root / req.model_path
+        model_path = model_path.resolve()
+        try:
+            model_path.relative_to(models_dir)
+        except Exception:
+            raise HTTPException(status_code=400, detail="model_path must point inside the project's models directory")
+        if not model_path.exists():
+            raise HTTPException(status_code=400, detail=f"Model path not found: {model_path}")
+
+        mgr = VoskModelManager(model_path)
+        text = mgr.transcribe_wav(dest)
+        logger.info("Transcription stage finished for %s", dest.name)
+    finally:
+        try:
+            dest.unlink()
+        except Exception:
+            pass
+
+    return {"text": text}
+
+
 # Note: this endpoint uses the bundled ffmpeg provided by `imageio-ffmpeg`.
diff --git a/api/route/convert_mp3_to_text.py b/api/route/convert_mp3_to_text.py
new file mode 100644
index 0000000..c261510
--- /dev/null
+++ b/api/route/convert_mp3_to_text.py
@@ -0,0 +1,134 @@
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+from pathlib import Path
+import subprocess
+import shutil
+import json
+import logging
+
+try:
+    from vosk import Model, KaldiRecognizer
+except Exception:
+    Model = None
+    KaldiRecognizer = None
+
+router = APIRouter(prefix="/convert", tags=["convert"])
+
+
+class Mp3ToTextRequest(BaseModel):
+    filename: str
+    model_path: str
+
+
+@router.post("/mp3-to-text-ffmpeg")
+async def mp3_to_text_ffmpeg(req: Mp3ToTextRequest):
+    """Convert MP3 -> PCM via ffmpeg (stdout) and transcribe with Vosk.
+
+    This endpoint requires `ffmpeg` available in PATH. It decodes the input
+    MP3 to raw PCM s16le 16k mono and streams it into Vosk recognizer.
+    """
+    logger = logging.getLogger("convert.mp3")
+
+    if Model is None or KaldiRecognizer is None:
+        raise HTTPException(status_code=503, detail="vosk is not installed in runtime")
+
+    project_root = Path(__file__).resolve().parent.parent.parent
+    audio_dir = project_root / "data" / "audio"
+    models_dir = project_root / "models"
+
+    src = (audio_dir / req.filename).resolve()
+    try:
+        src.relative_to(audio_dir)
+    except Exception:
+        raise HTTPException(status_code=400, detail="Invalid filename")
+    if not src.exists() or not src.is_file():
+        raise HTTPException(status_code=404, detail="Source file not found")
+
+    model_path = Path(req.model_path)
+    if not model_path.is_absolute():
+        model_path = project_root / req.model_path
+    model_path = model_path.resolve()
+    try:
+        model_path.relative_to(models_dir)
+    except Exception:
+        raise HTTPException(status_code=400, detail="model_path must point inside the project's models directory")
+    if not model_path.exists():
+        raise HTTPException(status_code=400, detail=f"Model path not found: {model_path}")
+
+    if shutil.which("ffmpeg") is None:
+        raise HTTPException(status_code=503, detail="ffmpeg is not available in the runtime. Install ffmpeg to use this endpoint.")
+
+    try:
+        from api.lib.audio_processing import FFmpegConverter, VoskModelManager
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Internal import error: {e}")
+
+    if shutil.which("ffmpeg") is None:
+        raise HTTPException(status_code=503, detail="ffmpeg is not available in the runtime. Install ffmpeg to use this endpoint.")
+
+    # Stream decode via ffmpeg to temporary process and feed recognizer
+    try:
+        mgr = VoskModelManager(model_path)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to load Vosk model: {e}")
+
+    cmd = [
+        "ffmpeg",
+        "-hide_banner",
+        "-loglevel",
+        "error",
+        "-i",
+        str(src),
+        "-f",
+        "s16le",
+        "-acodec",
+        "pcm_s16le",
+        "-ac",
+        "1",
+        "-ar",
+        "16000",
+        "-",
+    ]
+
+    logger.info("Starting ffmpeg streaming decode")
+    try:
+        proc = subprocess.Popen(cmd, stdout=subprocess.PIPE)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to start ffmpeg: {e}")
+
+    if proc.stdout is None:
+        proc.kill()
+        raise HTTPException(status_code=500, detail="ffmpeg did not provide stdout")
+
+    recognizer = None
+    try:
+        recognizer = KaldiRecognizer(mgr.model, 16000)
+        bytes_read = 0
+        total = None
+        try:
+            total = src.stat().st_size
+        except Exception:
+            total = None
+
+        last_pct = 0
+        while True:
+            chunk = proc.stdout.read(4000)
+            if not chunk:
+                break
+            recognizer.AcceptWaveform(chunk)
+            bytes_read += len(chunk)
+            if total:
+                pct = int(bytes_read * 100 / total)
+                if pct - last_pct >= 5:
+                    last_pct = pct
+                    logger.info("Decoding+transcription progress: %s%%", pct)
+
+        result = json.loads(recognizer.FinalResult())
+        text = result.get("text", "")
+        logger.info("Transcription finished; result length=%d", len(text))
+        return {"text": text}
+    finally:
+        try:
+            proc.kill()
+        except Exception:
+            pass
diff --git a/docker-compose.yml b/docker-compose.yml
index bb2f644..688c20a 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -30,6 +30,7 @@ services:
     volumes:
       - .:/app
       - ./data:/app/data
+      - ./models:/app/models
     dns:
       - 8.8.8.8
       - 1.1.1.1
diff --git a/pyproject.toml b/pyproject.toml
index de0aa8f..6b98e1d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,5 +14,6 @@ dependencies = [
     "sqlalchemy>=2.0.46",
     "toml>=0.10.2",
     "uvicorn>=0.41.0",
+    "vosk>=0.3.45",
     "yt-dlp>=2026.2.4",
 ]
diff --git a/requirements.txt b/requirements.txt
index b7eafec..6622559 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,10 +1,11 @@
 fastapi
 uvicorn
 sqlalchemy
-asyncio
 asyncpg
 toml
 pydantic
-pydantic_settings
+pydantic-settings
 yt-dlp
 moviepy
+imageio-ffmpeg
+vosk
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index 7e47e6d..07674c4 100644
--- a/uv.lock
+++ b/uv.lock
@@ -65,6 +65,73 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/3c/d7/8fb3044eaef08a310acfe23dae9a8e2e07d305edc29a53497e52bc76eca7/asyncpg-0.31.0-cp314-cp314t-win_amd64.whl", hash = "sha256:bd4107bb7cdd0e9e65fae66a62afd3a249663b844fa34d479f6d5b3bef9c04c3", size = 706062, upload-time = "2025-11-24T23:26:44.086Z" },
 ]
 
+[[package]]
+name = "certifi"
+version = "2026.1.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" },
+]
+
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/92/c4/3ce07396253a83250ee98564f8d7e9789fab8e58858f35d07a9a2c78de9f/cffi-2.0.0-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fc33c5141b55ed366cfaad382df24fe7dcbc686de5be719b207bb248e3053dc5", size = 185320, upload-time = "2025-09-08T23:23:18.087Z" },
+    { url = "https://files.pythonhosted.org/packages/59/dd/27e9fa567a23931c838c6b02d0764611c62290062a6d4e8ff7863daf9730/cffi-2.0.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c654de545946e0db659b3400168c9ad31b5d29593291482c43e3564effbcee13", size = 181487, upload-time = "2025-09-08T23:23:19.622Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/43/0e822876f87ea8a4ef95442c3d766a06a51fc5298823f884ef87aaad168c/cffi-2.0.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:24b6f81f1983e6df8db3adc38562c83f7d4a0c36162885ec7f7b77c7dcbec97b", size = 220049, upload-time = "2025-09-08T23:23:20.853Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/89/76799151d9c2d2d1ead63c2429da9ea9d7aac304603de0c6e8764e6e8e70/cffi-2.0.0-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:12873ca6cb9b0f0d3a0da705d6086fe911591737a59f28b7936bdfed27c0d47c", size = 207793, upload-time = "2025-09-08T23:23:22.08Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/dd/3465b14bb9e24ee24cb88c9e3730f6de63111fffe513492bf8c808a3547e/cffi-2.0.0-cp314-cp314-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:d9b97165e8aed9272a6bb17c01e3cc5871a594a446ebedc996e2397a1c1ea8ef", size = 206300, upload-time = "2025-09-08T23:23:23.314Z" },
+    { url = "https://files.pythonhosted.org/packages/47/d9/d83e293854571c877a92da46fdec39158f8d7e68da75bf73581225d28e90/cffi-2.0.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:afb8db5439b81cf9c9d0c80404b60c3cc9c3add93e114dcae767f1477cb53775", size = 219244, upload-time = "2025-09-08T23:23:24.541Z" },
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